Boosting Business With Machine Learning-Based Automated Visual Data Processing: Results of Finnish Company Interviews

Abstract

Machine Learning (ML) solutions are rapidly evolving and are increasingly 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 a company's business, streamline the creation of 3D content and models, enable adaptation of content in XR applications and support the creation of digital twins for a company's needs. However, there are also obstacles that limit the business use of such solutions. The objective of our research is to study the skills and insights of companies in using different kinds of AVDP solutions in their business. This article presents the results of interviews with 10 Finnish companies. The interviews comprised three sections: The first section gave a brief introduction about the existing AVDP solutions for the respondents. The second section collected information on the respondents' background and the respective company's experience of using ML in business and its short and long-term interest in developing or using different AVDP solutions in its business. The third section comprised thematic interviews which covered visual data processing themes that the respondents selected to be of interest to their company's business.

Keywords

• Machine learning
• business
• visual scene understanding
• 3D model reconstruction
• automated content generation