Date: 2026-06-18 to 2026-06-19
Location: Warsaw, Poland (hybrid format with online day and in-person day)
Type: Summit / Conference
Website: ml.dssconf.pl
What Is Data Science Summit AI Edition 2026?
The Data Science Summit AI Edition 2026 is a leading international AI and data science conference serving Central and Eastern Europe. Organized by the team behind the well-regarded Data Science Summit conference series, this edition focuses squarely on the most transformative areas of modern artificial intelligence, including generative AI, large language models (LLMs), natural language processing (NLP), computer vision, MLOps, and the rapidly evolving field of AI agents. The event takes place over two days in a hybrid format: an online day on June 18, 2026, followed by an in-person day in Warsaw, Poland, on June 19, 2026.
As one of the few major AI gatherings specifically anchored in the CEE region, the Data Science Summit AI Edition 2026 serves as a critical bridge between local talent and global innovation. The conference has historically attracted a mix of international speakers, practitioners, and decision-makers, making it a key networking and knowledge-sharing hub for professionals working at the intersection of data science and AI deployment. The 2026 edition doubles down on the practical, production-ready side of AI, with a program designed to address both the opportunities and the operational challenges that come with scaling generative models and agent-based systems.
Why It Matters for AI Professionals
For AI professionals, the Data Science Summit AI Edition 2026 arrives at a pivotal moment. As generative AI moves from experimental prototypes to enterprise-grade deployments, the need for robust MLOps pipelines, responsible AI governance, and efficient model fine-tuning has never been greater. This conference directly addresses those needs by dedicating significant track space to operational topics such as model deployment, monitoring, and lifecycle management—areas that are often underrepresented at more research-oriented events.
Attendees will gain actionable insights into how leading organizations in Central and Eastern Europe are tackling real-world AI challenges, from building custom LLMs for specific verticals to implementing computer vision systems in manufacturing and logistics. The hybrid format also ensures that remote participants can access keynotes and technical sessions on the first day, while those attending in person in Warsaw benefit from hands-on workshops, face-to-face networking, and deeper engagement with speakers and sponsors.
What to Expect
The Data Science Summit AI Edition 2026 program is structured around six core thematic areas that reflect the current state and near-term future of applied AI:
- Generative AI & LLMs: Techniques for fine-tuning, retrieval-augmented generation (RAG), and building production-grade language applications.
- Natural Language Processing (NLP): Advances in multilingual models, sentiment analysis, and document understanding for business use cases.
- Computer Vision: Real-world applications in autonomous systems, quality inspection, and medical imaging.
- MLOps & AI Infrastructure: Best practices for model serving, monitoring, data versioning, and CI/CD for machine learning pipelines.
- AI Agents: Architecture patterns for autonomous agents, multi-agent systems, and tool-use integration.
- Cross-cutting Topics: Responsible AI, bias mitigation, and regulatory compliance in the EU AI Act era.
Notable speakers and detailed session agendas are to be announced closer to the event date. The conference typically features a mix of technical deep-dives, case studies from industry practitioners, and panel discussions with thought leaders from both academia and enterprise.
Who Should Attend
The Data Science Summit AI Edition 2026 is designed for a broad professional audience, including:
- Data Scientists and Machine Learning Engineers looking to stay current with the latest tools and techniques for building and deploying AI models.
- AI Researchers interested in applied research and technology transfer from academia to industry.
- MLOps and DevOps Engineers focused on infrastructure, automation, and production reliability for AI systems.
- Technical Executives and Team Leads (CTOs, VP of Engineering, Head of AI) evaluating AI strategy and vendor solutions.
- Product Managers working on AI-powered features and seeking to understand technical feasibility and best practices.
- Students and Early-Career Professionals aiming to break into the AI field and learn from experienced practitioners.
How to Register
Registration for the Data Science Summit AI Edition 2026 is available exclusively through the official conference website. The hybrid format allows attendees to choose between an online-only pass (for June 18) and a full-access pass that includes the in-person day in Warsaw on June 19. Pricing details, early-bird discounts, and group rates are to be announced on the site. To secure your spot and receive updates on the agenda and speaker lineup, visit the official registration page at ml.dssconf.pl.
