Johan Irving Søltoft

Johan Irving Søltoft

Industrial PhD student - Will&Agency & DTU.
Formerly part of TANTlab & MASSHINE

Blog posts

Exhibition at the Danish Technological Museum: Grounding AI

Published in , 2025

The Grounded AI Map is a 10x10 meter floor mat representing 2M scientific papers involving AI and algorithms since the 1980s. The Danish Technical Museum will be exhibiting it until June 2, 2025, in dialogue with objects selected from its collections.

Strengthening the data-imagination of SMEs - Radar Model

Published in , 2023

The most common application of machine learning in small and medium-sized enterprises (SMEs) is the automation of routine tasks based on quantitative data, an area where Danish SMEs excel as European leaders. Concurrently, these enterprises are producing and archiving increasingly large volumes of unconventional, qualitative material related to activities that are neither routine nor quantifiable. It can be difficult for companies to envision how working with this type of data can be profitable. The project involves trying to expanding the companies’ notions of what data is and how it can be processed. Through various case studies, the project demonstrates how companies can broaden their data imagination by engaging in experiments with data and machine learning.

Strengthening the data-imagination of SMEs - Radar Model

Published in , 2023

The most common application of machine learning in small and medium-sized enterprises (SMEs) is the automation of routine tasks based on quantitative data, an area where Danish SMEs excel as European leaders. Concurrently, these enterprises are producing and archiving increasingly large volumes of unconventional, qualitative material related to activities that are neither routine nor quantifiable. It can be difficult for companies to envision how working with this type of data can be profitable. The project involves trying to expanding the companies’ notions of what data is and how it can be processed. Through various case studies, the project demonstrates how companies can broaden their data imagination by engaging in experiments with data and machine learning.