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Data Science Summit AI/ML Edition

  • Kinoteka 1 plac Defilad Warszawa, Województwo mazowieckie, 00-901 Poland (map)

Data Science Summit AI / ML Edition 2025 [Paid] [PL] [EN]

Event Description:

The Data Science Summit AI / ML Edition is Poland’s largest community-driven event dedicated to artificial intelligence, machine learning, and data innovation. Taking place over two days — online on June 5 and in-person in Warsaw on June 6 — the summit is an unmatched opportunity for data professionals to learn, network, and explore the latest trends in AI/ML.

Join 1,500+ participants, connect with 50+ partners, and attend 100+ talks and panels presented by industry leaders from Google, Intel, Capgemini, Smarter Diagnostics, ZHAW, and more. This year’s tracks include topics such as:

  • Large Language Models (LLMs), GPT, and AI Agents

  • NLP, Computer Vision, and Reinforcement Learning

  • Deployment & MLOps

  • Predictive Analytics and AI in Healthcare

  • Responsible AI and Data Ethics

  • AI Business Transformation

Who is it for?

The event is aimed at:

  • Data Scientists, Data/ML Engineers

  • AI & MLOps Experts

  • Big Data and BI Professionals

  • CxOs and Managers in IT/Data/Compliance

  • Academics and decision-makers shaping data-driven innovation

What’s included in your ticket:

  • Online (June 5): Live keynotes, chats with speakers, exclusive VoD access

  • Onsite (June 6): 10+ tracks of 35-minute sessions, roundtables, networking lounges, VIP areas

  • Extra Perks:

    • Access to past DSS recordings

    • Official merch (in select packages)

    • Matchmaking features and individual chat

    • Afterparty at one of Warsaw’s top cocktail bars

    • Contests with prizes: LEGO Millennium Falcon, Xiaomi Mi Band, coffee machines

With talks from over 200 confirmed speakers including Mateusz Chrobok, Mike Skowron (Google), Urszula Gumińska (Intel), and Dominik Batorski (UW), DSS 2025 is a must-attend for anyone serious about the future of AI and data.

Book your ticket now and power up your data journey.

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