How to organize an AI conference with Josef Lindman Hörnlund
Josef Lindman Hörnlund is a co-founder of Modulai and one of the organizers and co-founders of the yearly conference GAIA (Gothenburg Artificial Intelligence Alliance).
After moving from Stockholm to Gothenburg back in 2014, after working in machine learning in Stockholm for a few years, I realized that in Gothenburg very few companies were working with machine learning. So I joined a small meetup-group of people that discussed machine learning, and we had meetups with the few companies working within the field, and ML students from Chalmers and Gothenburg University.
Creating best-in-class digital retail enterprises
With many projects under our belt, we have a solid understanding of the challenges in retail and how to address them.
We have extensive experience in building various ML applications for retail. Several companies use our ML models every day in everything from production to supplying customers with recommendations, helping customers browse the product catalog swiftly, assessing optimal store stock levels, workforce planning, estimating service delays, or choosing the optimal MMM (marketing mix modeling) allocation.
In recent years, the Medtech sector has increased its utilization of machine learning to make smarter and more efficient medical products.
Greet and AI with Sofia
Greet and AI with Sofia, full-time machine learning engineer at Modulai.
Learn how she got into machine learning, why she works at Modulai, and why knowing your employer is of importance for your future.
Greet and AI with Gustav Eklund
We talked to Gustav Eklund, senior machine learning engineer at Modulai, about how he got into ML, his previous experiences, and what he thinks about life at Modulai.
If you’re a student, take part of the valuable tips he shares by the end of the interview.
Experts in fintech-specific AI
The financial tech sector is our bread and butter. We have developed solutions in multiple contexts over the years and are well versed in the specific challenges of the domain.