Lisa Amrhein
I'm a Data Scientist who enjoys turning complex systems into practical, intuitive solutions. After earning my PhD in Mathematics I’ve spent my career turning complex scientific ideas into practical computational tools. My work ranges from exploring the frontiers of GenAI to building semantic data layers, and I spend much of my time developing scientific software and digital twins for real‑world processes. I love creating tools that make sophisticated models understandable and usable, bridging the gap between deep technical detail and everyday application.
Session
Everyone talks about LLMs, RAG, and AI agents - but who truly understands them? Marketing promises magic while documentation assumes expertise. Recent research from Gartner reveals the consequences: only 8% of HR leaders believe their managers possess adequate AI competency, while companies that restructure work around AI achieve revenue goals twice as often as those who merely train employees. The problem isn't lack of information; it's the lack of genuine understanding through experience.
We took a different approach. Instead of slides or tutorials, we built "AI Factory" - a non-profit educational platform in the form of escape room game where players learn by doing. Craft prompts under budget pressure. Watch guardrails fail in real-time. Break their own RAG pipeline. Each mistake teaches more than any documentation ever could.
In this talk, we'll share what we discovered while building and testing this game with real users: why failure-driven learning outperforms tutorials, how game mechanics create memorable "aha moments," and the surprising concepts that clicked only through play.