Johan Irving Søltoft

Johan Irving Søltoft

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

Posts by Collection

portfolio

Strengthening the data-imagination of SMEs

Began:

The project focuses on stimulating SMEs data-imagination and associated competencies.The project will create knowledge about how small and medium-sized enterprises can understand, utilize and learn from their data

What is creatively acceptable AI

Began:

The project develops new anthropological analysis tools that combine AI with ethnographic methods and create new knowledge about the demand for cultural products.

publications

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.

talks

teaching

Courses

University, Aalborg University, Culture & Learning, 1900

Digitalization and Technology Management

  • 5th semester, Organizational Learning, 10 ECTS

Project Supervision

University, Aalborg University, Culture & Learning, 1900

Technology in Anthropological Perspective

  • 3rd semester, Techno-Anthropology, 15 ECTS