Thursday 10:15
in None
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 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.