Predicting Partner's Digital Transformation Based on Artificial Intelligence

被引:1
作者
He, Chenggang [1 ]
H. Q. Ding, Chris [2 ]
机构
[1] Anhui Univ, Sch Comp Sci & Technol, Key Lab IC&SP MOE, Hefei 230039, Peoples R China
[2] Univ Texas Arlington, Dept Comp Sci & Engn, Arlington, TX 76019 USA
来源
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 01期
关键词
partner transformation; artificial intelligence; hybrid VKR algorithm; high-quality result; CONTEXTS;
D O I
10.3390/app12010091
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Partner's digital transformation is one of the most important metrics for businesses, particularly for businesses in the subscription world. Hence, how to predict partner transformation is a consistent focus in the industry. In this paper, we use an AI (Artificial Intelligence) relevant algorithm to analyze partner's digital transformation issues and propose a novel method, named the hybrid VKR (VAE, K-means, and random forest) algorithm, to predict partner transformation. We apply our algorithm to partner transformation issues. First, we show the prediction of about 5980 partners from 25,689 partners, who are transformed and sorted according to important indicators. Secondly, we recap the tremendous effort that was required by the company to obtain high-quality results for economic change when a partner is transforming along with one or many of the transformation dimensions. Finally, we identify unethical behavior by looking through deal transaction data. Overall, our work sheds light on several potential problems in partner transformation and calls for improved scientific practices in this area.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Digital transformation, development and productivity in developing countries: is artificial intelligence a curse or a blessing?
    Aly, Heidi
    [J]. REVIEW OF ECONOMICS AND POLITICAL SCIENCE, 2022, 7 (04) : 238 - 256
  • [32] Students' Perceptions on the Use of Artificial Intelligence Tools in Engineering Education for the Digital Transformation
    Rodriguez-Paz, Miguel X.
    Gonzalez-Mendivil, Jorge A.
    Zamora-Hernandez, Israel
    Sayeg-Sanchez, Gibran
    [J]. 2024 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE, EDUCON 2024, 2024,
  • [33] Artificial Intelligence Pathologist: The use of Artificial Intelligence in Digital Healthcare
    Kaddour, Asmaa Ben Ali
    Abdulaziz, Nidhal
    [J]. 2021 IEEE GLOBAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS (GCAIOT), 2021, : 31 - 36
  • [34] Artificial Intelligence in the Digital Age
    Stamova, Iveta
    Draganov, Mihail
    [J]. INTERNATIONAL SCIENTIFIC CONFERENCE DIGITAL TRANSFORMATION ON MANUFACTURING, INFRASTRUCTURE AND SERVICE, 2020, 940
  • [35] Artificial intelligence in digital histopathology for predicting patient prognosis and treatment efficacy in breast cancer
    McCaffrey, Christine
    Jahangir, Chowdhury
    Murphy, Clodagh
    Burke, Caoimbhe
    Gallagher, William M.
    Rahman, Arman
    [J]. EXPERT REVIEW OF MOLECULAR DIAGNOSTICS, 2024, 24 (05) : 363 - 377
  • [36] A review of digital twins and their application in cybersecurity based on artificial intelligence
    Homaei, Mohammadhossein
    Mogollon-Gutierrez, Oscar
    Sancho, Jose Carlos
    Avila, Mar
    Caro, Andres
    [J]. ARTIFICIAL INTELLIGENCE REVIEW, 2024, 57 (08)
  • [37] Evaluation on the impact of digital transformation on the economic resilience of the energy industry in the context of artificial intelligence
    Lei, Yuyan
    Liang, Zhuojie
    Ruan, Peng
    [J]. ENERGY REPORTS, 2023, 9 : 785 - 792
  • [38] Digital Transformation Using Artificial Intelligence and Machine Learning: An Electrical Energy Consumption Case
    Podgorelec, Vili
    Karakatic, Saso
    Fister, Iztok, Jr.
    Brezocnik, Lucija
    Pecnik, Spela
    Vrbancic, Grega
    [J]. NEW TECHNOLOGIES, DEVELOPMENT AND APPLICATION V, 2022, 472 : 498 - 504
  • [39] Artificial intelligence-enabled digital transformation in elderly healthcare field: Scoping review
    Lee, Ching-Hung
    Wang, Chang
    Fan, Xiaojing
    Li, Fan
    Chen, Chun-Hsien
    [J]. ADVANCED ENGINEERING INFORMATICS, 2023, 55
  • [40] Digital transformation and religious entrepreneurship in Nigeria: integrating artificial intelligence toward competitive advantage
    Agu, Agu Godswill
    Margaca, Clara
    [J]. AFRICAN JOURNAL OF ECONOMIC AND MANAGEMENT STUDIES, 2024,