welcome to AIGRUNN!

The AI tech event for software professionals

aiGrunn is the open source AI conference in Groningen where software developers meet & learn how to develop, use and apply AI. In their own work and in the products they are building. It is a day full of inspiring talks and in-depth technical sessions.

AI ~ For developers that…

2025

Here is our list of amazing speakers! See the schedule for more details. Once the videos are ready we’ll link to them from here as well.

Erik Poolman – Local-first AI

Yke Rusticus – How AI is helping you back on the road

Arjan Egges – Design Patterns for AI Agents in Python (with Pydantic AI)

Wieneke Keller & Navaneeth Krishnan – We Put YOLO on a Tractor — What could go wrong?

Tim Kreutz – Interacting with a billion records using (semi-)autonomous agents

Joran J. Arends & Talko B. Dijkhuis – AI-assisted development of CDISC-compliant Datasets

Jan Salvador van der Ven – Vibe Coding: The Revenge of Requirements and Architecture?

Mark Redeman – Building interactive AI vision tools for the browser

Rajesh Gangireddy & Ashwin Vaidya – Near-Zero Defects: Visual Anomaly Detection on Edge Devices for Industrial Quality Control

Yonatan Alexander – AI-First Playbook: How Leaders and Pros Stay Ahead of the Curve

Maarten Smeets – The Modern AI Stack: From Function Calls to Federated Agents with MCP and A2A

Jeroen Bleker – MLOps Magic: Templates & Monorepos for Production

Jordy de Lange – The Evolution of Self Supervised Learning: Knowledge Without Labels

Artur Barseghyan – The Storyteller Project

Valentin Bister – Automating myself: From Customer Intent to Information System

Òscar Vilaplana – Evaluation-driven product development

Julio A. de Oliveira Filho & Athanasios – Trantas GPT-NL: Developing a Dutch LLM from scratch

Wico Mulder – Think Like a Doctor: Theory of Mind for Explainability and Trust in Human-AI Collaboration

Ayushi Rastogi – Liar Lair! Assess the Correctness of an LLM Chatbot

Michael Biehl – Interpretable machine learning in medicine (keynote)

Mark Vletter – 19 things I learned from AI coding, after not coding for 10 year

Roald Nefs – Teaching AI to Hunt for Vulnerabilities

Remi Baar – Private LLMs, when ChatGPT isn’t an option

Jorn de Vreede – Engineering Ethics into AI

Alexander Müller & Thomas Brcic – Why Care About AI Safety?

2024

Alexander Jeurissen & Willian van der Velde – Beyond Buttons: How Chat is Revolutionizing Software Interaction

Bram de Wit – Powering Productivity: The Energy Costs of Generative AI

Chris van Riemsdijk – Going beyond tabular data with graphs

Daniël de Kok – Make LLM inference go brrr

Edzo Botjes & JP van Oosten – Contextual Artificial Intelligence

Harald Rietdijk – Challenges with Human Digital Twins

Henk Boelman – Building agents with GTP-4o-realtime

Jochem Kleine – Shimmers: building a GenAI indie game

Jonas Braadbaart – AI Agent UX Patterns: Lessons From 1000 Startups

Jordy de Lange – From Fieldwork to Foundation Models: Ecological Monitoring with Satellite AI

Jorrik Klijnsma – A Large Language Model took me on vacation

JP Hwang – Is your database designed for AI?

Marcel Schutte – AI-Infused Software Architecture

Marco Tenback – Real-World Insights: Lessons from Using Azure AI and ChatGPT in Live Applications

Marten Koopmans – From RAG to riches: How LLMs can take enterprise search to the next level

Niels Taatgen – The future of AI

Onno Zoeter – Using causality theory to correct for training set bias. A large real world success at Booking.com

Sven Vintges & Jelle Klaver – RAGing agents

Rix Groenboom & Joran Arends – AI in Education and Research at Hanze

Steven Warmelink – Wattflex: AI in the Energy Transition

Sven Warris – Autimaatje: genAI & mental health

Wico Mulder, Mansur Nurmukhambetov – Designing Human-AI Interaction for Effective Assistance

Willem Jonker – Software for AI for software

Yonatan Alexander – Hallucinations and Hyperparameters: Navigating the Quirks of LLMs

Sebastiaan den Boer – Manual to Massive: Scaling AI Without Losing Your Mind

2023

Arjan Egges – Learntail: turn anything into a quiz using AI

Wijnand Karsens – My AI Remote Worker is coming to life

Bram de Wit – Small and practical AI models for CO2 reduction in buildings

Jan Salvador van der Ven and Jeroen van de Nieuwenhof – Can generative AI help us make texts more understandable? Lessons learned from Tolkie

Ashwin Vaidya – Anomalib: An open source deep learning library for anomaly detection

Emil Loer – Real-time speech recognition: best practices for scale and performance

Daniël de Kok & Madeeswaran Kannan – State-of-the-Art Transformer Pipelines in spaCy

Sven Vintges – Building a chatbot for a specific domain

Henk Boelman – Mastering LLM-Based AI Applications: A Deep Dive into Azure Machine Learning Prompt Flow

Nina Vielen-Kallio & Saikat Chatterjee – AI as part of impact driven business

Frederieke Scheper – Pair programming with GitHub Copilot

Henry Bol – Be a Better Developer with AI

Arend Top & Rix Groenboom – Testing with chatGPT checkers

JP van Oosten – Thinking outside the chat box

Hylke Donker – Fighting cancer with AI

Jonathan Alexander – Data Versioning for Machine Learning Practitioners

Sponsoring

aiGrunn is made possible through the efforts of volunteers, speakers and participants, but also by the financial support of a growing number of sponsors. With your contribution aiGrunn has become the largest and most influential AI Conference in the Northern Netherlands.

We have a great track record in organizing pyGrunn, with more than 400 participants and international speakers, for one entire day. Now it’s time for Groningen to call itself the AI capital of the Netherlands. Your contribution would give the conference a solid financial base in order to achieve everything mentioned above.