Catch up on the latest talks from Munich Datageeks — fresh insights, cutting-edge tech, and real-world data stories from top minds in the field. Stay curious and stay inspired!
Learn more about the hottest topic's in data and AI.
Efficient Medical Data Extraction: Automating ICD-10 Code Identification from Documents by Alexander Hoeweler was presented at Munich Datageeks - March Edition 2025 Abstract In this talk, we will explore how we automate the extraction of complex medical data from documents, focusing on the identification of ICD-10 codes. We will
Using uncertainty estimation to build reliable ML systems for smart manufacturing by Lukas Lodes was presented at Munich Datageeks - March Edition 2025 Abstract Modern production lines generate large amounts of data that can be used to increase the efficiency of both equipment and materials. This includes, of course, predictive maintenance
Scaling from POC to Production by Nicolas Neudeck was presented at Munich Datageeks - February Edition 2025 Abstract Turning an AI-powered proof of concept into a scalable, production-ready product is significantly more complex than simply rolling out the existing solution. POCs often lack robustness, scalability, and long-term maintainability.
Massively Multimodal Input Management in CIB flow by Konrad Grosser was presented at Munich Datageeks - January Edition 2025 Abstract Documents are rich in both linguistic and visual information, playing a critical role in many business processes. The automatic understanding of such documents is an evolving research field, requiring robust and
Adversarial Attacks in Deep Reinfocement Learning: A Call for Robust Defenses by Adithya Mohan was presented at Munich Datageeks - January Edition 2025 Abstract Deep Reinforcement Learning (DRL) has demonstrated remarkable potential across domains, including robotics, autonomous driving, and gaming. However, its vulnerability to adversarial attacks poses significant challenges to its
