IT Talks

IT Talks let you in on how it is to work with us, how customers have solved IT challenges, new industry trends by our partners and much more.

Every now and then we sit down for a chat and most often the conversations circles IT. Independent of the group, could be colleagues and/or partners, customers or friends – IT is on the table almost every time.

We have offices in Denmark, Norway and Sweden – and we have recorded IT talks at all of our locations and the chats are held in local language.

43 Male and female within the IT business (swe)

Jun 19, 2020

Annika Kjellandsson gives her view on male and female within the IT industry and what the pro's and/or con's can bring. She also reflects on how attitudes has changed over the years and why a mix of gender, age, background is something to strive for.

42 The Redpill Linpro family (swe)

Jun 19, 2020

Philip Sjöström and Susannah Eriksson chats about the Redpill Linpro family. Discussing what it means and why it is important. They also talk about the strive for creating a home away from home, taking responsibility for culture and values, knowledge sharing, and the will to contribute.

41 Knowledge graphs, semantic web, and linked data (eng)

Jun 19, 2020

Information is knowledge, says Rafael Espino in this IT Talks episode. His talk covers knowledge graphs, semantic web, machine learning, intelligent multi-agent systems, RDF storage, and LGP. By listening to this episode you will get the answer to questions like: When does data become information? What is an...

40 Automation and efficiency (no)

Jun 19, 2020

Erik Kaareng-Sunde and Daniel Buøy-Vehn are talking about automation and the importance of the topic. Benefits and challenges, drivers, if culture plays a role, what an ideal environment should look like, and how automation can make you more prepared for changes are some of the thing they elaborate.

39 A machine learning project explained (swe)

Jun 19, 2020

Marcus Grimberg, a system developer from our Gothenburg office explains a machine learning project. It is a cross border project with resources from Oslo and Gothenburg and it aims to give data scientists automated models, or in other words DevOps pipelines for machine learning.