Antti Tuomisto
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Antti Tuomisto has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Jukka Heikkonen
Department of Computing, University of Turku, Turku, Finland
1 shared publication - Paavo Nevalainen
Department of Computing, University of Turku, Turku, Finland
1 shared publication - Pouya Jafarzadeh
Department of Computing, University of Turku, Turku, Finland
1 shared publication - Tanja Vähämäki
Department of Computing, University of Turku, Turku, Finland
1 shared publication
Latest Publications
- Open Access
- 27 July 2024
- Published by Springer Nature in The Journal of Technology Transfer
- Vol. 50 (3) , 1016-1035
Supporting SME companies in mapping out AI potential: a Finnish AI development case
Products and services relying upon Artificial Intelligence (AI) have moved from mere concepts to reality. However, challenges still exist in applying AI technologies to traditional industrial and service enterprises. Two central problems are a proper understanding of the opportunities AI could bring to the business processes and making the business logic and data sources transparent to AI experts. As small and medium-sized enterprises (SMEs) are considered the economic backbone of many countries, this paper studies how to support SMEs in understanding the potential of AI in their business and how to prepare their data and requirements for a possible AI project. For this purpose, we first proposed the Cross-Industry Standard Process for Data Mining (CRISP-DM) an industry-proven way to apply AI solutions. The weight was in early business and data understanding. Then, we performed data visualization and developed some machine learning methods for 11 SMEs in South-western Finland as case studies to get more ideas for improving their business using AI. Two surveys probed the possible changes in AI practises of companies.
- 27 July 2024
- Published by Springer Nature in The Journal of Technology Transfer
- Vol. 50 (3) , 1016-1035
Open AccessSupporting SME companies in mapping out AI potential: a Finnish AI development case
Products and services relying upon Artificial Intelligence (AI) have moved from mere concepts to reality. However, challenges still exist in applying AI technologies to traditional industrial and service enterprises. Two central problems are a proper understanding of the opportunities AI could bring to the business processes and making the business logic and data sources transparent to AI experts. As small and medium-sized enterprises (SMEs) are considered the economic backbone of many countries, this paper studies how to support SMEs in understanding the potential of AI in their business and how to prepare their data and requirements for a possible AI project. For this purpose, we first proposed the Cross-Industry Standard Process for Data Mining (CRISP-DM) an industry-proven way to apply AI solutions. The weight was in early business and data understanding. Then, we performed data visualization and developed some machine learning methods for 11 SMEs in South-western Finland as case studies to get more ideas for improving their business using AI. Two surveys probed the possible changes in AI practises of companies.