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.
Patricia (VMO) presents three automated data governance solutions for Metabase: HR-driven permission sync via Personio & Dagster, dbt YAML-based documentation sync, and schema-change-resilient query updates using memoized API calls — all built with Python.
BSH applies LLMs to systems engineering — automating requirements syntax checking, quality validation, and rewriting — while building a centralized AI platform to standardize RAG pipelines, observability, and governance across 400+ enterprise use cases.
ML project failures—from misaligned goals to ignored baselines—stem from one root cause: lack of design documentation. Six real-world cases demonstrate how two weeks of upfront doc writing prevents months of wasted effort and embarrassing failures.
TNG's innovation team programmed a Unitree G1 humanoid robot to autonomously drive go-karts using creative hardware solutions and classical computer vision, while exploring reinforcement learning and foundation models for generalized robot intelligence.
Process mining case study at Munich's Großhadern hospital reveals that simple arithmetic mean outperforms AI in predicting surgery durations. Domain expertise proves essential for meaningful analysis, and augmentation beats automation.
