Sessions 2025

Machine Learning World Europe
17 - 18 November 2025 | Berlin

Check out the first sessions below

How to predict demand for Krombacher in the coming days? Discover how Krombacher built a state-of-the-art forecasting service that improves bottling processes, boosts planning reliability, and eases pressure on production control. Join Max on Krombacher’s journey—what worked, what didn’t, and how data science and technological innovation are driving smarter decisions in the brewing industry.

This talk will highlight how the electric car manufacturer NIO leverages machine learning to develop NOMI, the world’s first in-vehicle artificial intelligence. Olga will share lessons learned from integrating LLMs into the existing voice assistant architecture, including the challenges and opportunities this integration has presented for both the product and the organization.

The presentation will focus on the justification, development and implementation of an advanced control strategy for automating the dilution process in fill-finish manufacturing. The novel strategy includes the implementation of sensors, real-time data processing and modeling, combined with immediate process feedback control. This approach was implemented at Johnson & Johnson in the commercial facilities and allows to reach the target protein concentration with high accuracy despite process irregularities.

The assumption, that modern, complex models automatically outperform older, simpler ones, still permeates many organisations and decision-makers. Niklas will show analytically (using Bias-Variance Trade-Off and the interpolation threshold) when this holds true and when simple, transparent models perform as well or better than the most sophisticated modern AI tools. He will showcase how he used this approach to design a new, fully transparent, high-performance credit score with the Schufa Holding AG.

This presentation will delve into the suitability of various AI models and advanced analytics methods for pricing, addressing the preference between price elasticity and volume prediction models. Beyond the modeling approach, Katharina will show you strategies for identifying the right features, both generally and within the pricing context. Join Katharina to gain valuable insights into optimizing consumer loan pricing with AI at ING, a German direct bank.

With the EU AI Act in place, achieving presumption of conformity for high-risk AI systems requires a clear strategy. This session provides a concrete overview of the current state of standardization and key harmonization efforts. Frank will examine how to apply essential standards for AI management systems, risk assessment frameworks, and conformity assessment processes. Participants will learn how to align their AI system with emerging regulatory expectations and efficiently navigate compliance.

Nils, Senior Data Engineer, and Justin, Senior Data Scientist, present a Case Study from publisher Axel Springer. They explain how isolated predictive use cases evolved into a next-gen marketing automation platform that speeds campaign delivery and drives subscriber growth. Justin covers their journey of ML use cases in marketing; Nils details data integrations that formed a unified Customer Data Chip and seamless automation platform. This session showcases a blueprint for marketing enablement.

Machine Learning adds complexity to product design—not just in implementation, but even more during product discovery, where user value is explored. At edding, the easycheck team transformed to an empowered product team, collaborating across disciplines by rethinking roles, rituals, and structures. This session shares insights on making ML research and implementation a first-class citizen and enabling product managers and designers to work with uncertain model outputs.

AI is evolving from answering questions to solving problems autonomously. This keynote reveals how to build AI agents that plan, decide, and act, transforming industries from software development to customer service. Learn practical frameworks for creating trustworthy autonomous systems, proven strategies for user adoption, and a roadmap from simple assistants to fully autonomous agents. Discover why the organizations mastering AI agents today will define the next decade of innovation.