Artificial Intelligence Meetup Frankfurt

Dear AI Enthusiasts,
Join us for our summer meetup of 2026, generously hosted and sponsored by IBM Frankfurt. This is a great opportunity to connect with, learn from and network with fellow AI practitioners and enthusiasts.

The meetup is on a first-come, first-served basis, as there are a limited number of seats. The final list has been sent to IBM. Please attend only if your RSVP has been confirmed.

Agenda
18:00 – 18:10; Reception
18:10 – 18:15; A welcome note from Organiser & host/sponsor
18:15 - 18:45; Speaker I: Simon Kammer, AI Engineer - IBM Client Engineering
Title: IBM Bob & Client Engineering: Reinventing the way we build software together
Abstract: What if you had an AI coding partner guiding you from the first idea to production? In this session, we explore IBM Bob—supporting the entire Software Development Life Cycle by turning business requirements into clear structures, accelerating development, and simplifying modernization, even with legacy systems in complex environments. Discover how this human-AI partnership boosts speed, quality, and code security end to end.

18:45 - 19:15; Speaker II: Eyad Kelleh
Title: Creators of an AI‐assisted EV charging app Independent iOS Developer & AI
Product Engineering Expert
Abstract: Ever wondered how AI can turn a rough app idea into a working prototype in days, not months?
In this 20‐minute session, we'll walk through how we built a real EV charging app using AI tools like Cursor and modern coding assistants.
You'll see live how AI helps design features, generate production‐grade code, debug issues, and iterate quickly – plus where human judgment is still essential.
This talk is for anyone interested in AI and technology, from non‐technical founders to curious developers. You'll leave with a concrete, demystified view of AI‐assisted development and practical patterns you can use to bring your own ideas to life faster.

19:45 - 20:15; Speaker III: Camilo Throne
Title: AI in Portfolio Management - a Primer
Abstract: A core task in finance consists in building and optimizing equity portfolios, i.e. investments in tradeable financial assets such as bitcoin, ETFs, securities or stocks. The key question being how much to invest in a given asset through time so as to maximize (cumulative) returns. In this introduction we recall the key portfolio management statistical models (Markowitz theory), and discuss how deep learning is being used to automate and improve upon this task.

20:15 - 20:30; Announcements
20:30 - Socializing
Interested in speaking?
Link to our Speaker Form: Google Form
Interested in sponsoring?
Partner with us to support the AI community and gain visibility among industry professionals and enthusiasts.
Link to our Sponsorship Form: Google Form

Organizers:
Danko
Peter
Gautam
Frank
Madhu
AI Meet-up Linkedin Page

AI Hub Frankfurt - Ein Zuhause für KI in Frankfurt und Rhein-Main
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