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Supporting SME companies in mapping out AI potential: a Finnish AI development case

Author

Listed:
  • Pouya Jafarzadeh

    (University of Turku)

  • Tanja Vähämäki

    (University of Turku)

  • Paavo Nevalainen

    (University of Turku)

  • Antti Tuomisto

    (University of Turku)

  • Jukka Heikkonen

    (University of Turku)

Abstract

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.

Suggested Citation

  • Pouya Jafarzadeh & Tanja Vähämäki & Paavo Nevalainen & Antti Tuomisto & Jukka Heikkonen, 2025. "Supporting SME companies in mapping out AI potential: a Finnish AI development case," The Journal of Technology Transfer, Springer, vol. 50(3), pages 1016-1035, June.
    • Handle: RePEc:kap:jtecht:v:50:y:2025:i:3:d:10.1007_s10961-024-10122-5
    DOI: 10.1007/s10961-024-10122-5
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    More about this item

    Keywords

    Artificial intelligence; Business; Development; collaboration; Small and medium sized enterprises;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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