Kick-off for MMW project on contextual communication

AI-driven advertising is often presented as one of the main  successes of deep learning, after heavy investments in machine learning algorithms that discover and exploit patterns in consumer behaviour.  In a new project financed the Marcus and Marianne Wallenberg Foundation, researchers from Umeå University, Malmö University, Stockholm School of Economics, and the University of Gothenburg collaborate to understand the implications for citizens and society linked to different types of targeting methods used in online advertising. 

Photo by Joe Yates on Unsplash
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EUREKA and local coordinator Vinnova have granted the project E! SAVANT funding.  The project serves to develop a platform for video-based marketing, designed for affiliate marketers and other small-scale publishers. The novelty is automatic enrichment of video with shoppable content, and an AI that continuously tunes campaigns to optimise conversion. Continue reading “E! SAVANT”