GAIA
The Gothenburg Artificial Intelligence Alliance (GAIA) is a non-profit association that promotes interest in artificial intelligence, machine learning, data science, and data engineering in Gothenburg and the surrounding area. We are a community connecting AI practitioners across industry, academia, and the public sector. We have hosted our annual GAIA Conference since 2018, and our community roots in the Machine Learning and Data Science (GBG) Meetup date back to 2014.
GAIA offers knowledge-sharing and networking through regular events. We hold Meetups roughly bi-monthly and arrange our conference annually in the spring.
We aim to support a strong regional community and ecosystem within artificial intelligence, machine learning, data science, and data engineering, enabling startups, scaleups, and established companies to thrive. Networking across domains and spreading local and external knowledge are key to a prosperous community.
AI Meets Simplicity: A Success Story on Energy Efficiency in Real Estate by Steffen Therre
Enterprise Adoption of LLM-Powered Multi-Agent Collaboration Systems by Tingyi Li
Python, NLP & GPT for the real world by Neil Williams
Keeping people and society safe; using AI for situational awareness by Christian Ehrenström Roos
Closing Remarks by Josef Lindman Hörnlund
Creating Value for Sweden Through Earth Observation and Collaboration by Chiara and Olof
Collaboration is Revolutionizing Public Sector AI by Jonatan Permert
Powering Grid Flexibility at Scale: Building a Global Forecasting Platform by Íngrid and Marcus
The Art of Conversation: Designing Conversational User Interfaces by Björn and Ruxandra
Intelligence is Corporeal—Rethinking Design Through the Body by Kristina Höök
Scaling Zenseact's stack towards autonomy on a next-generation DL supercomputer by Willem Verbeke
Transformative AI and Single-Cell Technologies Revolutionizing Healthcare by Balaji Selvaraj
How Time Series Forecasting Can Help Business Make Better Decisions by Mohamed Ahmed
Building Resilient (ML) Pipelines for MLOps by Lex Avstreikh
Evaluating Retrieval-Augmented Generation Systems: Challenges and Practices by Yue Liu
Automatic generation of care plans for cancer patients by Linus Johansson
Collaborative anti-money laundering using federated learning by Kristiina Ausmees and Edvin Callisen
Our four biggest mistakes made when working with AI in marketing by Emilie Sunekær Norsgaard
2025 Opening Remarks by Jakob Andersson
AI at the Frontline: Transforming Defence in Unpredictable Environments by David Hovstadius
Deploying GenAI: Overcoming Challenges in Performance, Security, and Efficiency by Jonna Matthiesen
AI Governance in a Changing Regulatory Environment by Luis Martinez
AI-as-a-Business by Daniel Langkilde
Pandas 2, Dask or Polars? Quickly Tackling Larger Data on a Single Machine by Ian Ozsvald
2024 GAIA Conference Highlights
2024 Closing Remarks by Josef Lindman Hörnlund
Adapting Like Humans: Embodied AI Beyond Datasets and Domains by Pier Luigi Dovesi
GenAI: Summary of Breakthroughs in Image Generation by Olof Harrysson
The Role of Data and AI in Farming by Robin Johansson
Information Leakage of Neural Networks by Johan Östman