Supporting SME companies in mapping out AI potential: a Finnish AI development case-Reference-Cited by-同舟云学术

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

Published:2024-07-27 Issue: Volume: Page:
ISSN:0892-9912
Container-title:The Journal of Technology Transfer
language:en
Short-container-title:J Technol Transf

Author:

Jafarzadeh Pouya^ORCID,Vähämäki Tanja,Nevalainen Paavo,Tuomisto Antti,Heikkonen Jukka

Abstract

AbstractProducts 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.

Funder

Europäischer Sozialfonds

University of Turku

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10961-024-10122-5.pdf

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