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Interview

ML learnings after three years at Modulai with Svante Sörberg

Svante originally joined Modulai as a master's thesis student and have been with the company for over two years.

I have realized that the software engineering aspect of the job is more significant than I initially thought. I underestimated it and thought that the focus would only be on creating a Machine Learning model. However, in reality, there is a lot of work required to integrate the model with the client’s tech stack and legacy system to deliver value.

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Interview

ML learnings with Abgeiba Isunza Navarro

We are celebrating "Abgi," and we wanted to check in on how her journey at Modulai has been so far.

One of the things that I like the most about working in machine learning is that you can apply ML to almost any field. Since I started working at Modulai, I have been able to work on many different projects.

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Interview

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. 

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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. 

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Supercharging Medtech

In recent years, the Medtech sector has increased its utilization of machine learning to make smarter and more efficient medical products.

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Interview

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.

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Interview

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.

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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.

Related

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