Artificial Intelligence for Industry 4.0 in Iberoamerica

Villegas, Osslan Osiris Vergara; Nandayapa, Manuel; Azuela, Juan Humberto Sossa; Franco, Edgar Gonzalo Cossio; Linares, Gustavo Trinidad Rubin

doi:10.13053/cys-25-4-4056

Cited by 3 publications

(2 citation statements)

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“…Currently, Artificial Intelligence (AI) has been an area of great interest and investment in the industrial sector, offering numerous possibilities to increase the efficiency and accuracy of production processes [1][2][3]. With the availability of large amounts of data and the development of increasingly sophisticated Machine Learning algorithms, companies have found AI to be an important tool for improving decision-making and optimizing the performance of their operations [4]. AI has been applied in various industrial areas such as manufacturing, logistics, and energy, among others, with significant results in terms of cost reduction, increased productivity, and improved quality of the products and services offered [5].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence and Industry 4.0? Validation of Challenges Considering the Context of an Emerging Economy Country Using Cronbach’s Alpha and the Lawshe Method

Moreira,

Fernandes,

Avila

et al. 2023

Eng

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Background: Artificial Intelligence has been an area of great interest and investment in the industrial sector, offering numerous possibilities to enhance efficiency and accuracy in production processes. In this regard, this study aimed to identify the adoption challenges of Artificial Intelligence and determine which of these challenges apply to the industrial context of an emerging economy, considering the aspects of Industry 4.0. Methods: To achieve this objective, a literature review was conducted, and a survey was carried out among professionals in the industrial field operating within the Brazilian context. The collected data were analyzed using a quantitative approach through Cronbach’s alpha and the Lawshe method. Results: The results indicate that to enhance the adoption of Artificial Intelligence in the industrial context of an emerging economy, taking into account the needs of Industry 4.0, it is important to prioritize overcoming challenges such as “Lack of clarity in return on investment,” “Organizational culture,” “Acceptance of AI by workers,” “Quantity and quality of data,” and “Data protection”. Conclusions: Therefore, based on the achieved results, it can be concluded that they contribute to the development of strategies and practical actions aimed at successfully driving the adoption of Artificial Intelligence in the industrial sector of developing countries, aligning with the principles and needs of Industry 4.0.

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Section: Introductionmentioning

confidence: 99%

Artificial Intelligence and Industry 4.0? Validation of Challenges Considering the Context of an Emerging Economy Country Using Cronbach’s Alpha and the Lawshe Method

Moreira,

Fernandes,

Avila

et al. 2023

Eng

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“…Applying ICT in this sector could help livestock producers solve problems like this. In Latin America, the potential of the application of ICT in the productive sector has already been analyzed previously (Vergara Villegas et al, 2021). In contrast, there are extensive proposals for platforms oriented to the rural sector, such as the one presented in Nigussie et al (2020).…”

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confidence: 99%

A Systematic Literature Review about Sensors Systems and Applications for Livestock Vital Signs Monitoring

Navia,

Chancay-García,

Cedeño-Sarmiento

et al. 2024

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The use of Information and Communication Technologies (ICT) in livestock is not new; applications in this field cover from simple animal identification to complete traceability systems. The monitoring of vital signs of livestock is an issue of farming in which ICT is applied. This paper presents a systematic literature review of proposals for monitoring vital signs in different types of livestock. For this purpose, PRISMA methodology has been applied, with its three phases: Planning, Conducting, and Reporting. Papers from journals and conferences, between 2017 and 2023, have been considered. Long-range monitoring of signs, such as movement, geo-position, body temperature, or heart rate, are the main trends of the analyzed papers and commercial products. Therefore, there are opportunities for developing devices or products that monitor other vital signs, like blood pressure or blood oxygen saturation.

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Artificial intelligence an essential factor for the benefit of companies: systematic review of the literature

Martínez,

Salinas,

Hernández

et al. 2024

Cogent Engineering

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Artificial Intelligence for Industry 4.0 in Iberoamerica

Cited by 3 publications

References 0 publications

Artificial Intelligence and Industry 4.0? Validation of Challenges Considering the Context of an Emerging Economy Country Using Cronbach’s Alpha and the Lawshe Method

Artificial Intelligence and Industry 4.0? Validation of Challenges Considering the Context of an Emerging Economy Country Using Cronbach’s Alpha and the Lawshe Method

A Systematic Literature Review about Sensors Systems and Applications for Livestock Vital Signs Monitoring

Artificial intelligence an essential factor for the benefit of companies: systematic review of the literature

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