Agentic AI in 6G Software Businesses: A Layered Maturity Model
Approved
Classifications
MinEdu publication type
A4 Article in conference proceedings (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Other article
Host publication type
Conference platform
Publication channel information
Title of host publication
2025 International Conference on Frontiers of Information Technology (FIT)
ISBN (print)
979-8-3315-7481-9
ISBN (electronic)
979-8-3315-7480-2
Name of conference
International Conference on Frontiers of Information Technology
Title of journal/series
Proceedings (International Conference on Frontiers of Information Technology)
ISSN (print)
2334-3141
ISSN (electronic)
2473-7569
ISSN (linking)
2334-3141
Publisher
IEEE
Publication forum ID
84209
Publication forum level
0
Internationality
Yes
Detailed publication information
Publication year
2025
Bibliographical publication year
2025
Reporting year
2025
Page numbers
1-6
DOI
10.1109/FIT67061.2025.11333593
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences
Keywords
Agentic AI; Software Readiness; 6G Transformation; Motivators; Demotivators
Funding information
Funding information in the publication
This research was funded by the Business Finland project 6G Bridge:6G software for extremely distributed and heterogeneous massive networks of connected devices (8516/31/2022).
Funders
Funder
Business Finland
Name of funding
6G Bridge
Funding decision
8516/31/2022
Research data information
Research data information in the publication
The list of selected studies and thematic mapping coding used in this research is available at the following link: https://zenodo.org/records/17618056
Source database ID
Scopus ID
2-s2.0-105033152725
Other database ID
IEEE: 11333593