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Title & Speakers Event
Juan Manuel González Huesca – Senior Data Scientist @ ASML

In an era where data is abundant but meaningful insights are rare, this session reframes the role of data professionals, shifting the focus from complexity to clarity, from algorithms to outcomes. Learn how aligning data work with business goals, ethical values, and societal needs leads to solutions that truly matter. Through a practical framework, compelling case studies, and expert perspectives, you'll explore how understanding business problems and user needs, alongside stakeholder engagement, domain knowledge, and strategic thinking, can elevate your technical skills into meaningful impact. Whether you're just starting your data journey or driving innovation, this talk will help you connect the dots between data and purpose.

Data Science
Frank Mbonu – Data Engineer at Xebia Data @ Xebia Data

In federated data architectures, balancing team autonomy with accountability is a critical challenge. This presentation introduces Lakewatch, our governance model that transforms raw Databricks System Tables into actionable scorecards for cost efficiency and best practices. Learn how this approach drives centralized action, empowers domain teams, and eliminates governance bottlenecks.

Databricks
Maarten Hendriks – Head of Planning & Delivery Strategy @ ASML , Tijn Fleuren – Head of Planning & Delivery Strategy Research @ ASML

In this talk, we will begin with an overview of the P&D sector, the Strategy team, and the ongoing research projects. Next, we delve into planning use cases, where we apply data science methods to support critical decision-making processes. These include a digital twin of our new-build supply chain for assessing buffer and capacity strategies, the application of deep reinforcement learning for optimizing inventory planning policies, and the development of a simulation model and optimization methodology to improve production order release planning for complex modules.

Data Science
Ritchie Vink – CEO of Polars @ Polars

Polars is widely known as one of the fastest DataFrame libraries. In this talk, Ritchie gives an introduction into what Polars is, how it achieves its performance and how you can effortlessly scale from running on your own computer, to running on your server, to running on your compute-cluster.

Polars Data Streaming
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