Open AccessBusiness Analysis Method for Constructing Business–AI Alignment Model
Author(s) -
Hironori Takeuchi,
Shuichiro Yamamoto
Publication year - 2020
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.2020.09.140
Subject(s) - computer science , business intelligence , business rule , business model , business domain , artifact centric business process model , construct (python library) , task (project management) , service (business) , business process modeling , artificial intelligence , knowledge management , process management , business process , systems engineering , management , operations management , business , economy , engineering , economics , programming language , work in process
In this study, we consider the construction of a model for representing an artificial intelligence (AI) service system project. When developing a system using AI technologies to support a business task in a company, all project members from both business and IT divisions must have common understandings on the project before starting it. For this purpose, a business–IT alignment model for AI service systems is proposed as a business–AI alignment model. However, we need to substantiate this business–AI alignment model for each project, because it is a generic model. To address this problem, we propose a method for constructing the business– AI alignment model and apply it to a real project for developing an AI service system in a case study, and confirm that we can construct the project-specific business–AI alignment model–without support of data scientists.
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