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!
Nothing matters more than speed for the iOS product development team in Schibsted News Media. Soon also VG will launch on their super-fast app.
Can news sites as different as Fædrelandsvennen and Aftonbladet be based on the same design elements? Yes, says the team that is building a design system for all of Schibsted´s publishers.
Media businesses looking to serve the interest of diverse societies need to reflect on how we implement new technologies. Artificial Intelligence is no smarter than the data it eats, and it is in our ethical and financial interest to think twice about what we put on its plate!
At Schibsted, we use data science to build models that aggregate user behaviors and preferences. Advertisers can combine these to allocate users in groups, known as targeting segments.
