When:
Machine Learning
Week Warsaw
Transform into a data-driven business with machine learning and AI
Experience Machine Learning Week Warsaw
The conference focuses on the practical application of predictive & prescriptive analytics, machine & deep learning, data & text mining, Generative AI & Agentic AI and related topics in business, industry, government, and other verticals, covering analytical and technical as well as economical and organisational questions on strategic and operational levels.
We provide a regional platform for the European data science community to share their success stories and insights with their industry peers. Our attendees are experienced data scientists, analytics managers and AI visionaries from manufacturing, logistics, marketing, e-commerce, finance, insurance, healthcare and many more sectors.
Key focus areas
- Accelerate your transformation into a data-driven business with machine learning and AI.
- Share success stories, in-depth knowledge and advanced insights with industry peers.
- Combine Generative AI and Predictive AI for faster results.
Join us to delve into the practical applications of:
- Moving Fast from Predictive to Generative to Agentic AI
- EverythingOps = DataOps + MLOps + DevOps + StratOps
- From AI Tool Experimentation to AI Business Transformation
- Beyond LLM: Multimodality, (Probabilistic) Reasoning, SML & more
- FAIR Data & Responsible AI: more than GDPR, EU Data Act, EU AI Act
- Practical Applications in Business and Industry
Join the platform for the data science community to share success stories and insights with industry peers from manufacturing, logistics, marketing, e-commerce, financial and many more sectors. Don’t miss this perfect opportunity for in-depth knowledge-sharing, interactive expert discussions, keynotes, case studies, workshops and intensive industry networking.
Deep dive into Generative AI, Predictive AI, and how they can work together to turbocharge your output. Join fellow data scientists, analytics managers and AI visionaries and leave with techniques for bigger wins, broader capabilities and MLOPs success.
Explore the key themes of Machine Learning Week agenda
Dive into real-world case studies, technical deep dives, and visionary keynotes. Whether you’re interested in marketing automation, human-in-the-loop systems, personalization at scale, or the future of AI itself—this year’s agenda is designed to challenge your thinking and provide actionable insights.
Opening Keynote: Rethinking AI — are we climbing the right hill?
Speaker: Alessandro Confetti
OpenAI turned the Transformer into a global phenomenon, but is the AI hype leading us in the right direction? Alessandro Confetti challenges us to pause, reflect, and explore deeper questions—without discarding the impressive achievements of today. This is a call to rethink AI while we still have the time and resources.
Accelerating Marketing Delivery: Axel Springer’s Unified Automation Platform
Speakers: Nils Paetsch & Justin Neumann
Discover how Axel Springer moved from isolated predictive models to a unified marketing automation platform. Learn how they streamlined campaign delivery and built a data architecture that supports subscriber growth through intelligent integrations and targeted insights.
From Eye-Catching to Effective: Real-World Personalization at MOL Group
Speaker: Peter Szabolcs
See what happens when data science teams choose between cutting-edge and commercially viable. This session shares learnings from the Mol MOVE loyalty program across two ambitious projects: GenAI-driven hyperpersonalization and traditional AI-powered discount optimization.
From Hypotheses to Conversions: Snaptrip’s Journey to First ML Models
Speaker: Marcin Szymaniuk
How can you balance experimentation and delivery in a resource-limited setting? Snaptrip shares their experience of building the first ML models, combining NLP, ensemble techniques, and practical approaches to drive real business outcomes.
Human-in-the-Loop: Building AI Systems That Learn With People
Speaker: Miha Garafolj
Learn how to integrate human feedback into machine learning pipelines through interactive active learning systems. This session explores real engineering challenges and lessons from deploying such systems in large-scale video analysis environments.
Causal AI at Scale: Push Notification Personalization for Millions
Speaker: Dr. Alexander Khachikyan
Managing notification fatigue is critical at scale. This session demonstrates how PAYBACK used causal AI and Google Cloud to tailor push notification frequency, balancing user engagement with ROI through cutting-edge techniques like causal forests and A/B testing.
Table Discussions
Informal and intimate discussions with a maximum of 12 participants per group. These off-the-record roundtables are led by experienced moderators and are often rated as the most valuable part of the event. Share your challenges, exchange insights, and strengthen your network among peers who truly understand your daily realities.
What’s Next?
More sessions and speakers will be revealed soon. For now, save your spot — because this year, Machine Learning Week isn’t just about watching. It’s about doing.
Why attend?
Machine Learning Week Warsaw is where real AI/ML gets done. Here’s what you’ll gain:
- Global format, local stage
For the first time in Poland, experience the renowned Machine Learning Week format – developed by Rising Media and trusted by the European AI community. - 100% practical content, 0% fluff
Every session is a case study. Learn directly from real AI/ML implementations – what worked, what didn’t, and what’s next. - Network with real practitioners
Meet data scientists, ML engineers, and AI leaders who speak your language – no hype, just real talk and shared experience. - Topics that matter right now
From LLMs and Generative AI to RAG, ML Ops, EverythingOps, and the EU AI Act – get insights that are timely, relevant, and actionable. - One powerful day, maximum value
No week-long commitment needed. Just one day packed with cutting-edge content, fresh ideas, and high-value connections.
Machine Learning
Week Warsaw
Keynote Speaker
Alessandro Confetti
European Data & AI lead for Health Care,
Life Science, and Tech
ThoughtWorks
Alessandro started writing software when he was fourteen, and he has never stopped since then. After studying philosophy, logic, and working with healthcare data for his entire career, he joined ThoughtWorks in 2017 helping large organizations make sense of their legacy software and data. Since 2019, he has been an adjunct professor at Politecnico of Milan, and from 2022 also a Design School advisory board member. Currently, he’s ThoughtWorks European Data & AI lead for Health Care, Life Science, and Tech.
Program Chair
Martin Szugat
Founder & Managing Director
Datentreiber
Founder and managing director of Datentreiber, a data strategy consultancy supporting companies to digitally transform to a data-driven business. He invented the Data Strategy Design method and provides a free Data Strategy Designkit. Prior to Datentreiber, Martin Szugat was managing director of SnipClip, an agency for social media marketing & analytics. With a degree in bioinformatics, he has conducted research in machine learning and worked as a freelance software developer, consultant & author. Since 2014, he is responsible for the Machine Learning Week (formerly known as Predictive Analytics World & Deep Learning World) conference in Europe as program director.
Speakers
Miha Garafolj
Senior ML Engineer
Merantix Momentum
Miha’s academic background is in Financial mathematics, in which he obtained a MSc from the University of Ljubljana. Already during studies he got pulled into applied ML, first using ML and other quantitative algorithms to help solve financial portfolio optimization problems, and later transitioning into computer vision. For more than two years, together with his colleagues in Merantix Momentum, he specializes in data-centric AI and designing human in the loop systems for their clients.
Alexander Khachikyan
Principal AI & Data Scientist
PAYBACK
Alexander leads the development and scaling of AI-driven products generating multimillion-euro impact across PAYBACK’s digital ecosystem. He holds a Ph.D. from the Max Planck Institute and teaches Machine Learning and Deep Learning at the Munich University of Applied Sciences.
Justin Neumann
Senior Data Scientist
Axel Springer National Media & Tech
Justin Neumann works as a Senior Data Scientist at Axel Springer National Media & Tech, the digital powerhouse of Europe’s leading publisher. He has architected and developed machine-learning solutions for customer targeting and marketing automation, accelerating marketing delivery and driving subscriber growth. Channeling his passion for technology, he continually refines data products that enable marketing teams to succeed. He holds a Master of Science in Predictive Analytics from Northwestern University.
Ewa Nowakowska
Partner and Leader of the AI Data Science Team
EY Poland
Ewa leads the AI Data Science Team at EY Poland and is a Partner at the firm. She holds a PhD in Computer Science from the Polish Academy of Sciences and degrees in Mathematics and Psychology from the University of Warsaw. With over 15 years of experience, she has worked on AI and machine learning projects in Europe and the US, supporting both global initiatives and client solutions. At EY, she focuses on building AI systems tailored to business needs and fostering collaboration across teams. She is also active in AI education and mentoring, particularly supporting young talent and women in tech.
Nils Paetsch
Senior Data Engineer
Axel Springer National Media & Tech
Nils Paetsch, Senior Data Engineer, and Justin Neumann, Senior Data Scientist, work at Axel Springer National Media & Tech, the digital powerhouse of Europe’s largest publisher. Together, they drive subscriber growth and empower stakeholders and marketing teams to expand media businesses both in Europe and internationally.
Szabolcs Péter
Lead Data Scientist
Digital Factory (Member of MOL Group)
Meet Peter, a seasoned data scientist with a knack for unraveling insights. Beyond his technical prowess, he’s known for his passion for teaching, having enlightened hundreds on the intricacies of data science and data visualization. Currently, he serves as a Lead Data Scientist and trailblazer in AI solutions at Digital Factory, where he continues to push the boundaries of innovation. Join him at the conference for a blend of expertise, humor, and a shared love for both data and nature.
Arkadiusz Slowik
Data Scientist
PAYBACK
Mathematics graduate from the University of Warsaw with 2 years of end-to-end ML experience at PAYBACK. Multi-time hackathon winner and former enthusiast. Speaker and roundtable moderator at tech conferences, passionate about sharing practical insights and fostering discussion in the data science and machine learning community
Machine Learning
Week Warsaw
Venue
The Tides,
Wioślarska 8, Warsaw
Why sponsor?
Machine Learning Week Warsaw offers unmatched visibility to decision-makers driving AI in the CEE region:
- Direct access to AI/ML decision-makers from Poland and the CEE region
Connect directly with the people who matter – those leading AI and data initiatives across top enterprises in Central and Eastern Europe. - Real presence in the spotlight
Get more than just a logo. Lead a breakout session, present a real-world case study, or run a hands-on workshop – and showcase your expertise in action. - Warsaw – the rising AI hub of Central Europe
Position your brand in the heart of one of Europe’s fastest-growing tech regions. Warsaw is a natural launchpad for business expansion across CEE. - International standards, local impact
Co-organized with Rising Media (creators of ML Week Europe), the event delivers the same expert-led program and content quality trusted across Berlin, Munich, and London. - Your target audience: companies actively investing in AI
Meet senior practitioners actively building and scaling real-world AI – ready to engage, evaluate, and partner.
Get in front of the people shaping AI in Central Europe. Connect with AI leaders in Poland and beyond.
Sponsor Opportunities
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