Schibsted is exploring Artificial Intelligence – AI – for an increasing number of products and services. In a recent webinar, we gave viewers a sneak peek into our AI operations and shared our thoughts on the ethical dilemmas that accompany these technologies.
In our Product & Tech organization in Schibsted, we have explored new ways to keep creative workshops ongoing while all work from home. Here are learnings from how we have set up and facilitated our remote workshop.
7 days, 3 researchers, 1400 km by car, 33 interviews. This is how we went about finding out what Schibsted Media’s users outside of Oslo thinks about our products.
There is no place to hide for this product development team in Aftonbladet: Just about everyone in Sweden has an opinion about their work!
Image recognition is a big trend within machine learning and the technology is making its way into Schibsted’s products. Learn more in this article.
In just a few years user revenue has become a pillar in the digital business model for news media. What happened?
In order for journalism to keep its promise of keeping power in check and enlighten people, it is essential that the products that deliver that journalism keep up with users’ ever-growing expectations.
Wanted: New media business ideas! But how? Schibsted has created the “future hub” Next Media to explore.
The Omni Next team built a platform that is used by four brands – all focused on smart curation of content. Now the team gets ready for the next phase – to be more data-driven.
How we as developers and designers can save the world. Even if it’s only a little bit.
This team better not mess up at work: Last year ads for more than 100 million Euro were booked through the sales tool they built.
A new profession is playing an important role in how content will be presented on Schibsted´s news sites: Data scientists. Meet the machine learning team!
