About us
We want to bring people together who are interested in AI and Machine Learning. At our meetups, we have:
- Networking
- Talks
- Fireside chats
- Knowledge exchange
- Applications of AI and Machine Learning
We organize our meetups every other month and due to current restrictions, we can only host virtual events.
We are always looking for innovative and inspiring speakers. If you know somebody who would be an excellent fit for our meetup, we would highly appreciate if you help us and recommend this speaker to us. To recommend a speaker for CAIML, please fill out this form.
Learn more about the organizers:
Upcoming events
5
CAIML #44
TH Köln Campus Südstadt, Ubierring 48, Köln, DECAIML #44 is going to happen on September 8, 2026, at TH Köln. Thanks to TH Köln, Prof. Gernot Heisenberg, and KölnBusiness for their support!
We will have two talks with additional time for networking.
Talk 1: Tim Voßmerbäumer (Data & AI Consultant at Scalefree): Talk to Your Data: A Semantic-Layer Architecture for Reliable Analytics Agents
An LLM can produce valid SQL over a warehouse schema and still answer the wrong question, because the schema does not carry the organizational meaning of a metric. This talk presents an agentic system over Google Ads, Google Analytics 4, and Google Search Console data, modeled in Data Vault 2 on BigQuery, in which a governed semantic layer serves as the agent's knowledge interface. The agent answers along two paths: questions that map to a predefined metric go through the dbt Semantic Layer, using definitions that already exist rather than ones the model writes. Questions no predefined metric covers take an exploratory path, where the agent writes its own SQL under a rule-based guard. The agent may also decline when the data cannot support an answer. Without that option it does not fail visibly, but produces SQL that passes every structural check, fabricates the rows, and reports them faithfully.
Talk 2: Ivan Herreros (Senior AI Consultant | Machine Learning Engineer at inovex): From ChatGPT to Agentic AI: The Common Thread of AI Development
How is Agentic AI actually progressing, how will it keep reshaping day-to-day work, and is any of it really impossible to predict? To answer that, we trace the evolution of LLM-based applications: from natural-language dialogue to the delegation of digital workflows to agents that act autonomously over ever-longer time horizons. The common thread: viewed with some distance, most of the steps (from RAG through MCP to Claude Code and Agent Harnesses) were not just predictable but predicted. Drawing on almost three years of building conversational and agentic AI platforms, we show which patterns recur and what actually sits behind the buzzwords. Whoever understands this underlying logic can situate new technological developments proactively, instead of reacting to every new hype cycle.
We will share more details on the talks and an agenda soon.
137 attendees
Past events
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