Artificial Intelligence for Industry 4.0 in Iberoamerica

被引：0
|
作者：
Vergara Villegas, Osslan Osiris [1 ]
Nandayapa, Manuel [1 ]
Sossa Azuela, Juan Humberto [2 ]
Cossio Franco, Edgar Gonzalo [3 ]
Rubin Linares, Gustavo Trinidad [4 ]
机构：
[1] Univ Autonoma Ciudad Juarez, Inst Ingn & Tecnol, Mexico City, DF, Mexico
[2] Inst Politecn Nacl, Ctr Invest Comp, Mexico City, DF, Mexico
[3] Univ Valle Atemajac, Ciencias Comp, Mexico City, DF, Mexico
[4] Benemerita Univ Autonoma Puebla, Ciencias Comp, Puebla, Mexico
来源：
COMPUTACION Y SISTEMAS | 2021年 / 25卷 / 04期
关键词：
Artificial intelligence; industry; 4.0; Iberoamerican countries; robotics; augmented and virtual reality; IoT; big data; VERTICAL INTEGRATION; AUGMENTED REALITY; CYBERSECURITY; DESIGN; SYSTEM;
D O I：
10.13053/CyS-25-4-4056
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Artificial intelligence applied to industry 4.0 will help the Iberoamerican industries to experiment and adopt a digital transformation. In this paper, we present a literature review of the work conducted by Iberoamerican countries regarding artificial intelligence for Industry 4.0. The works analyzed are aligned with the eight technological pillars that support industry 4.0, including robotics, Internet of things, big data, additive manufacturing and simulation, cloud computing, cybersecurity, virtual and augmented reality, and horizontal and vertical integration. As a result of our perusal, we propose many strategies that Iberoamerican countries could follow to successfully implement artificial intelligence to daily life.
引用
收藏
页码：761 / 773
页数：13
相关论文
共 50 条
  • [41] How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?
    Mithas, Sunil
    Chen, Zhi-Long
    Saldanha, Terence J., V
    Silveira, Alysson De Oliveira
    PRODUCTION AND OPERATIONS MANAGEMENT, 2022, 31 (12) : 4475 - 4487
  • [42] Banking 4.0: Artificial Intelligence (AI) in Banking Industry & Consumer's Perspective
    Noreen, Umara
    Shafique, Attayah
    Ahmed, Zaheer
    Ashfaq, Muhammad
    SUSTAINABILITY, 2023, 15 (04)
  • [43] Industrial Artificial Intelligence in Industry 4.0-Systematic Review, Challenges and Outlook
    Peres, Ricardo Silva
    Jia, Xiaodong
    Lee, Jay
    Sun, Keyi
    Colombo, Armando Walter
    Barata, Jose
    IEEE ACCESS, 2020, 8 : 220121 - 220139
  • [44] Natural Language Processing and Artificial Intelligence for Enterprise Management in the Era of Industry 4.0
    Mah, Pascal Muam
    Skalna, Iwona
    Muzam, John
    APPLIED SCIENCES-BASEL, 2022, 12 (18):
  • [45] Industry 4.0 in Finance: The Impact of Artificial Intelligence (AI) on Digital Financial Inclusion
    Mhlanga, David
    INTERNATIONAL JOURNAL OF FINANCIAL STUDIES, 2020, 8 (03): : 1 - 14
  • [46] How artificial intelligence and machine learning assist in industry 4.0 for mechanical engineers
    Shankarrao Patange G.
    Bharatkumar Pandya A.
    Materials Today: Proceedings, 2023, 72 : 622 - 625
  • [47] An Intelligent Combination: Assessing the Impact of harmonized Emotional and Artificial Intelligence for the Success of Industry 4.0
    Ruhela, Sonakshi
    Riaz, Sadia
    2019 10TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT), 2019,
  • [48] Artificial General Intelligence vs. Industry 4.0: Do They Need Each Other?
    Kumpulainen, Samu
    Terziyan, Vagan
    3RD INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING, 2022, 200 : 140 - 150
  • [49] Artificial intelligence empowered emails classifier for Internet of Things based systems in industry 4.0
    Brij B. Gupta
    Aakanksha Tewari
    Ivan Cvitić
    Dragan Peraković
    Xiaojun Chang
    Wireless Networks, 2022, 28 : 493 - 503
  • [50] Optimization of human resources in automated factories based on artificial intelligence in the context of Industry 4.0
    Li, Shufen
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024,
12345