AI Service System Development Using Enterprise Architecture Modeling
Author(s) -
Hironori Takeuchi,
Shuichiro Yamamoto
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.09.259
Subject(s) - computer science , layer (electronics) , enterprise architecture , architecture , service (business) , software engineering , service layer , project management , knowledge management , engineering management , process management , systems engineering , art , economy , economics , visual arts , engineering , chemistry , business , organic chemistry , software deployment
In this work, we propose a model of a project to develop an artificial intelligence (AI) service system used in an office environment. Our model is based on enterprise architecture (EA) approach and consists of business layer elements, application layer elements, and motivation extensions, so that project participants from both business and IT divisions can have the same understanding of the project. By applying the proposed model to the project analysis results, we show that we can derive actionable insights for project risk management.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom