AI in practice
The program
The lectures
AI Allies - How to strategize AI without a strategy?
A lecture with Franziska Jon
Many companies talk about "the" AI strategy - but the day-to-day work of consultants shows that this is the case:
Value is not created on paper, but in action.
Instead of waiting months for the perfect concept, successful teams start with concrete experiments. This presentation shows how AI use in a consultancy can be operationalized bottom-up from day-to-day business - without waiting for a perfect strategy document first.
The focus is on the "AI Allies" - Employees who voluntarily and of their own accord in small experiment in small pilot projects and learn where AI helps and where it doesn't. You share their experiences - successes and failures - and thus gradually build trust with their colleagues auf. Etwa wenn ein Berater zeigt, wie er mit KI Recherchen von Stunden auf Minuten verkürzt – inklusive der Grenzen, die er dabei erkannt hat. Kurze Feedback-Schleifen, niedrigschwellige Experimente und Practical showcases are far more convincing than slides and slogans.
Another focus is on the role of leadership: Wie hole ich das Management nicht nur als Entscheider, sondern als Lernende in den Prozess? Statt monatlicher Statusberichte braucht es gemeinsame Experimente und Reflexionsschleifen. Real buy-in arises when benefits, risks and limitations are not reported retrospectively, but are evaluated together on an ongoing basis - and when managers try out AI themselves.
The key insight: a sustainable AI strategy is created through use, not on the drawing board. Those who consistently open up spaces for exchange, enable experiments and make successes visible will build a network of AI allies - and thus a living, learning organization that grows with the technology.
Franziska Jon
Anyone can do AI - or can't they?
A lecture with Barbara Faulstich and Enrico Goerlitz
Artificial intelligence is changing the corporate world - it will be shown how modern AI solutions with Azure and Copilot are created in practice and generate real added value. The most important development stages of AI development will be highlighted and an outlook given on the next trends that companies and users can expect in the future.
Barbara Faulstich
Barbara Faulstich is a data and AI expert with a focus on cybersecurity and digital health. She works on AI workflows, data-driven system architectures and production-related applications in regulated sectors such as healthcare and defense. She also conducts research at the Berlin Institute of Health (Charité) on data protection and governance issues in the context of generative AI.
Enrico Goerlitz
Building an AI QA Engineer with Claude Code and Playwright MCP
A lecture with Alexander Opalic
This talk will explain how to use Claude Code and the Playwright MCP to develop an AI-powered QA engineer that tests web applications like a real user in the browser. The goal is to integrate automated quality assurance directly into the GitHub Actions workflow to receive detailed bug reports including screenshots with every pull request.
Alexander Opalic
Alex has over 7 years of experience in software development and currently works at Otto Payments. He is passionate about sharing his expertise as a blogger(alexop.dev) and speaker. In addition to knowledge transfer, his main focus is on inspiring exchange with others.
Organizers



