Boosting Business with Machine Learning based Automated Visual Data Processing: Results of Finnish Company Interviews

Marko Palviainen (Corresponding Author), Tatu Harviainen, Miguel Bordallo Lopez, Jani Mantyjarvi

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Machine Learning (ML) solutions are evolving fast and are more and more capable of performing Automated Visual Data Processing (AVDP) tasks such as visual scene understanding, 3D model reconstruction, and automated content generation tasks. We believe that novel AVDP solutions can significantly boost companies’ business, streamline creation of 3D content and models, enable adaptation of content in XR applications, and support creation of digital twins for companies’ needs. However, there are also obstacles limiting the business use of these solutions. The objective of our research is to study companies’ competence and insights of using different kinds of AVDP solutions in their business. This article presents the results of the interviews in 10 Finnish companies that collected information about companies’ short and long-term interests in using AVDP solutions in business. The interviews consisted of three parts. The first part gave a brief introduction about the existing AVDP solutions for the respondents. The second part collected information of respondents’ background and of a company’s experience of using ML in business and company’s interest to develop or use different AVDP solutions in their business. The third section consisted of thematic interviews that covered visual data processing themes that the respondents selected to be interesting for the business of their company.
Original languageEnglish
JournalIEEE Access
DOIs
Publication statusAccepted/In press - 1 Jan 2020
MoE publication typeA1 Journal article-refereed

    Fingerprint

Cite this