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Revolutionizing Business: The Role of AI in Driving Industry 4.0 Nabiel Syarof Azzaky; Atikah Salimah; Clarita Risma Saputri
TechComp Innovations: Journal of Computer Science and Technology Vol. 1 No. 1 (2024): TechComp Innovations: Journal of Computer Science and Technology
Publisher : Pusat Riset dan Inovasi Nasional Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/techcompinnovations.v1i1.24

Abstract

The urgency of this research lies in understanding the critical role of Artificial Intelligence (AI) in the rapidly evolving landscape of Industry 4.0. As businesses strive to remain competitive, AI's integration into industrial processes has become essential. The primary aim of this study is to examine how AI drives innovation and efficiency within Industry 4.0. Using a literature review methodology, this research synthesizes findings from existing studies to provide a comprehensive overview of AI's impact on various business sectors, including manufacturing, logistics, and supply chain management. The results reveal that AI significantly enhances operational efficiency, predictive maintenance, and decision-making capabilities. Moreover, the study identifies key challenges in AI implementation, such as data privacy and the need for skilled workforce, while also highlighting the vast opportunities for future advancements. This research underscores the importance of AI in achieving higher levels of customization, quality, and competitiveness, paving the way for sustainable business growth in the digital era
Ethical Implications and Challenges of AI Implementation in Business Operations Ahmad Nur Ihsan Purwanto; Muhammad Fauzan; Tiara Widya; Nabiel Syarof Azzaky
TechComp Innovations: Journal of Computer Science and Technology Vol. 1 No. 2 (2024): TechComp Innovations: Journal of Computer Science and Technology
Publisher : Pusat Riset dan Inovasi Nasional Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/techcompinnovations.v1i2.52

Abstract

This study explores the ethical implications and challenges associated with the implementation of artificial intelligence (AI) in business operations. The research aims to identify key ethical concerns, such as data privacy, algorithmic bias, and workforce displacement, while analyzing their impact on organizational practices and stakeholder trust. Utilizing a library research approach, the study synthesizes insights from academic literature, industry reports, and case studies to examine the intersection of AI ethics and business performance. The findings highlight the need for transparent governance frameworks, inclusive algorithm design, and ethical AI policies to address these challenges effectively. The research underscores the importance of balancing technological innovation with ethical considerations, offering practical implications for businesses seeking to integrate AI responsibly into their operations