Evaluating Generative AI Technology Choices and Software Frameworks for Developing AI Solutions in Business
Generative AI (GenAI) is being increasingly adopted in business, yet leveraging it effectively remains challenging due to diverse use cases and organizational needs. While generic end-user tools are widely used, they often fall short in addressing domain-specific tasks and integration requirements. This paper reviews the limitations of such tools and emphasizes the need for customized, use-case-specific GenAI solutions. We examine emerging software frameworks for developing tailored GenAI solutions.
Authors
- Jukka Remes (ORCID: https://orcid.org/0000-0003-1685-8346)
- Umair Ali Khan (ORCID: https://orcid.org/0000-0002-8560-764X)
- Yiheng Wu
- Dmitry Kudryavtsev (ORCID: https://orcid.org/0000-0002-1798-5809)
- Lidia Pivovarova (ORCID: https://orcid.org/0000-0002-0026-9902)
- Roman Yangarber (ORCID: https://orcid.org/0000-0001-5264-9870)
- Janne Kauttonen (ORCID: https://orcid.org/0000-0003-2432-5072)
- Antti Joutsenniemi
- Akseli Leskinen
Institutions
- Haaga-Helia University of Applied Sciences (FI)
Publication Details
- Journal
- European Conference on Knowledge Management
- Published
- 2025-08-29
- DOI
- https://doi.org/10.34190/eckm.26.2.3809
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- European Regional Development Fund