Data analysis of unstructured video and image data in Fashion
|Coordinator||Stockholms universitet - Institutionen för data- och systemvetenskap|
|Funding from Vinnova||SEK 231 266|
|Project duration||October 2017 - June 2018|
|Venture||Personal mobility between societal sectors|
Purpose and goal
The aim of the project was to: Specify H&M´s challenges with unstructured image and video data in social media Identify opportunities in emerging computer science Plan applied research All of these aims was achieved.
Expected results and effects
It resulted in an analysis on how retail could be improved by emerging advanced data analytics methods.
Planned approach and implementation
Oskar Juhlin had full access to all activities in the area. He could then interview both project leaders and people with a recent Ph D in data science. The quesions concerned the development of data analytics, and how H&M could orient to it in a 1-2, 3-5 and 5-10 years perspective. Their answers were compared to previous unpublished interviews with academic researchers in the field. Finally, it was possible to list action points.