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On behalf of Goldenore and Payback, we are pleased to invite you to a special Meetup dedicated to all Data Science enthusiasts, featuring Norbert Wirth, Global VP Data at PAYBACK GROUP.

AI is electrifying the business world – but can it really replace knowledge, experience, and the solid foundations of Data Science?
This is a unique opportunity to spend an October evening in a close-knit group and the inspiring atmosphere of the Payback office, exchanging experiences and engaging in thought-provoking discussions.

Let’s talk about how Generative AI, Machine Learning, and Data Science can work together to create real business impact. Participants can look forward to a wealth of knowledge and valuable networking with industry professionals.

Adenda:

  • Does AI Eat Data Science for Breakfast?
  • Beyond AI Hype: CausalML and Optimization in Push Notifications
  • AI: Breakfast of Champions or Fast Food?
  • Hybrid Intelligence: Supercharging GenAI Agent Efficiency with ML Precision

Presenters:

  • Norbert Wirth, Global VP Data at PAYBACK, draws on his experience in end-to-end Data Science product development, Machine Learning and Artificial Intelligence, the digital ecosystem, data operating models, and algorithm development. His professional experience, continuous engagement in various industry bodies, and regular appearance at international conferences as keynote speaker and moderator make him a thought leader in data driven solution development, applied artificial intelligence and data management. Before joining PAYBACK, Norbert was ramping up and managing Sqooba Germany and SUPERCRUNCH by GfK, two Data Science startups. He worked as Director Data Science and AI at PwC, Global Head of Data and Science and Global Head of Innovation and Digital at GfK.
  • Arkadiusz Słowik, Data Scientists at PAYBACK, is a passionate Data Scientist dedicated to solving complex business challenges with data-driven insights. A former hackathon enthusiast, he brings a creative and competitive edge to problem-solving. In his daily work, he focuses on end-to-end machine learning workflows, from data to deployment. Beyond projects, he is deeply committed to sharing knowledge and fostering collaboration within the data and AI community.
  • Vladimir Aleksiejczenko, CEO of DataWorkshop, with over 10 years of hands-on experience in the AI industry - Machine Learning and Data Science. He advises both small and large companies on how to build stable and high-quality solutions based on AI models.
    He has personally trained and deployed hundreds of ML models into production. Today, in the context of LLMs, he focuses mainly on what works reliably in production.
    He is also a podcaster (Biznes Myśli), the author of 7 original specialist courses in AI, as well as other educational initiatives, which have altogether engaged over 10,000 participants.
  • Rafał Latkowski, Principal AI & Data Scientist, expert in Machine Learning, Data Science, and Data Analytics with over 20 years of experience in the IT industry. Throughout his career, he has supported leading companies in finance, telecommunications, loyalty programs, and retail.
    He specializes in managing the development and implementation of advanced analytical tools. For over 15 years at PAYBACK, he has been responsible for driving and aligning Data & Consumer Analytics solutions, fostering collaboration among analytical teams, and shaping the future of the data landscape through the adoption of new technologies.
    He holds a degree in Computer Science and Mathematics from the University of Warsaw and a doctorate from the Polish Academy of Sciences. Outside of his professional endeavors, he continues his academic pursuits in Machine Learning, engaging in research and teaching activities.

Participation is free of charge – registration is required
**https://www.goldenore.com/en/meet-up-payback**

📅 October 7, 5:00 PM
📍 Payback Office, ul. Towarowa 28, Warsaw
📌 Presentations will be held in both Polish and English.
Seats are limited – don’t miss out, register today!

Events in Warsaw, PL
AI/ML
Machine Learning
Data Analytics
Data Science
Data Management

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