2026-04-16 –, Lounge [1st Floor]
Open Space / Problem Clinic
More and more Python projects are running in regulated environments: finance, energy, automotive, pharma. The challenges are often surprisingly similar --- replacing legacy stacks under compliance pressure, deploying ML without cloud access, or making technical decisions legible to management.
This is not a talk. It's a moderated peer exchange among practitioners. Bring your real-world problems --- we'll discuss what has worked and what hasn't.
Topics that may come up:
- Migrating away from SAS, MATLAB, or proprietary stacks
- AI/ML in environments where cloud is not an option
- Auditability and governance for Python-based models
- Bridging the gap between tech teams and C-level on AI investment decisions
- Open source strategy under regulatory constraints
Format: Open discussion, no slides, no projector, no recording (Chatham House Rule). Limited to approx. 20 participants. No registration required.
Who should join: Anyone using or introducing Python in a regulated environment --- regardless of industry.
Moderation: Alexander CS Hendorf
Alexander C.S. Hendorf is an independent AI and open-source strategy advisor working with companies in regulated industries. With 20+ years of hands-on experience across 50+ technologies — from the Python ecosystem to vector databases — he bridges the gap between boardroom decisions and technical execution. Alexander is a Python Software Foundation Fellow, heads the Open Source Working Group of the KI Bundesverband, serves on the board of the Python Software Verband, and has delivered 100+ talks in 15+ countries.