When Atelach Alemu Argaw arrived in Schibsted, in early 2016, she started from scratch, building a team working with natural languages processing (NLP) and image recognition. Now they’re part of realizing Schibsted as a tech-based company. Her team builds state-of-the-art models and services, using data from users, and makes them available within Schibsted. NLP is an AI-based technology aiming to get computers to understand how humans speak, or write. Atelach’s team has built a model for labeling the intent of a message. This means that you can understand when buyers at a marketplace are interested in an item that already has been sold, and assist the seller in answering them. When it comes to image processing the team has, for instance, made it possible to show similar items to buyers. 

Atelach holds a PhD in Computer Science at the University of Gothenburgh and she has collaborated extensively at the Laboratory for Data Mining and Decision Analysis (DMDA) part of the Department of Computer and System Sciences at Stockholm University