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Evaluating Generative AI Technology Choices and Software Frameworks for Developing AI Solutions in Business

Year: 2025

Type: conference-paper

Abstract: 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.

Source: European Conference on Knowledge Management

DOI: 10.34190/eckm.26.2.3809

Authors: Umair Ali Khan, Dmitry Kudryavtsev, Janne Kauttonen, Antti Joutsenniemi, Akseli Leskinen, Jukka Remes, Roman Yangarber, Lidia Pivovarova, Yiheng Wu

Institutions: Haaga-Helia University of Applied Sciences, University of Helsinki

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funders: European Commission, European Regional Development Fund

OpenAlex ID: W4413841734

FWCI: 1.059

Cites:

Cited by: 1

Related to: 10