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Discover Redpill Linpro’s podcast, IT Talks—a window into our world of open source innovation and digital transformation. In each episode, you’ll hear authentic stories about how our clients have tackled complex IT challenges, learn from insightful conversations with our colleagues and technology partners, and explore emerging trends shaping the industry. Our discussions bring together voices from across Denmark, Norway, and Sweden, with episodes recorded at all our local offices, each in its native language. Whether you’re an IT leader, a curious professional, or simply interested in the future of technology, IT Talks offers engaging perspectives that inspire learning and spark new ideas. Visit our official website: www.redpill-linpro.com        

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.


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.


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...


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.


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.