Claim Missing Document
Check
Articles

Found 2 Documents
Search

Industrial Revitalization with AI between Opportunities and Challenges for Global Economic Growth Loso Judijanto; Asfahani Asfahani; Anjana Prusty; Nova Krisnawati; Asri Ady Bakri
Journal of Artificial Intelligence and Development Vol. 4 No. 1 (2025): Journal of Artificial Intelligence and Development
Publisher : Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study investigates the Industrial Revitalization with AI, exploring both the opportunities and challenges it presents for global economic growth. The aim is to provide a comprehensive understanding of AI's role in reshaping industries, the methods used in the study include qualitative research methods such as in-depth interviews with industry leaders, technology experts, and stakeholders. The findings highlight the significant potential of AI in enhancing productivity and innovation across various sectors, while also emphasizing the need for addressing concerns such as job displacement, data privacy, and regulatory frameworks. In conclusion, the study underscores the transformative impact of AI on industrial revitalization, emphasizing the importance of responsible AI deployment and collaborative efforts for sustainable economic growth.
Optimization of Organizational Performance by Utilization of AI for Strategic Management Insights Loso Judijanto; Asfahani Asfahani; Syamsul Muqorrobin; Nova Krisnawati
Journal of Artificial Intelligence and Development Vol. 4 No. 1 (2025): Journal of Artificial Intelligence and Development
Publisher : Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In response to the complexities of modern markets, organizations are increasingly turning to Artificial Intelligence (AI) as a transformative tool for enhancing strategic decision-making and organizational performance. This study investigates the impact of AI utilization on optimizing organizational performance within strategic management. A qualitative research method was employed, utilizing semi-structured interviews to gather insights from key organizational informants. The findings highlight the significant role of organizational culture, leadership support, and collaborative approaches in maximizing AI's potential for agility, informed decision-making, and competitive advantage. The analysis contributes to a deeper understanding of AI's implications for strategic management and underscores the importance of holistic approaches in leveraging AI for sustained performance enhancement.