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Examining the Impact of Artificial Intelligence and Internet of Things on Smart Tourism Destinations: A Comprehensive Study Aliyah; Chandra Lukita; Greian April Pangilinan; Mochamad Heru Riza Chakim; Dimas Bagus Saputra
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.332

Abstract

This research focuses on the high urgency of utilizing Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance Smart Tourism Destinations (STDs). The integration of AI and IoT technologies offers unprecedented opportunities to revolutionize various aspects of tourism, from personalized recommendations to real-time data collection. The research aims to provide a comprehensive analysis of the current state, challenges, and future direction of STDs in the context of AI and IoT integration. It explores various AI techniques and IoT-enabled data collection mechanisms that can enrich the traveler experience and improve destination management. However, challenges such as privacy and data security issues need to be addressed. The research also provides foresight into future technologies like Augmented Reality (AR) and Virtual Reality (VR) that can further enhance STDs. The ultimate goal is to contribute to the development of smarter, visitor-oriented tourism destinations. The research highlights the significance of AI in shaping STDs and emphasizes the importance of addressing ethical considerations, data quality, interpretability, and human-AI collaboration to ensure responsible and effective use of AI in the tourism industry.
Integration of Artificial Intelligence in the Financial Sector Innovation, Risks and Opportunities Limajatini Limajatini; Suhendra Suhendra; Greian April Pangilinan; Muhammad Ghifari Ilham
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.165

Abstract

The integration of AI in the financial sector has inspired significant innovation while introducing new dynamics related to risks and opportunities. The rapid adoption of AI technologies has transformed operational, strategic, and analytical processes, creating substantial potential for growth alongside critical challenges. This study examines the transformative impact of AI on the financial sector, focusing on its innovative applications, associated risks, and opportunities. Key areas of exploration include the enhancement of operational efficiency, the development of innovative financial products, and the mitigation of risks through AIMLdriven solutions. A qualitative approach was employed, involving an extensive review of literature, industry reports, and regulatory frameworks. Thematic analysis was conducted to identify recurring patterns, while triangulation ensured the reliability of findings. Consultations with AI and financial experts further validated the study. The findings reveal that AI innovations, such as intelligent algorithms, big data analytics, and machine learning (ML), enhance operational efficiency, improve decision ML making processes, and strengthen market predictions. However, risks such as data security breaches, model uncertainty, and ethical concerns remain significant. Addressing these risks requires robust governance frameworks, ethical AI design, and compliance with evolving regulatory standards. By addressing risks and leveraging opportunities, the financial sector can optimize the transformative potential of AI, manage challenges effectively, and achieve sustainable growth. This study fills a critical gap in the literature by linking AI integration to practical implications for financial inclusion and risk mitigation, particularly in emerging markets and underserved communities.
Integration of Artificial Intelligence in the Financial Sector Innovation, Risks and Opportunities Limajatini Limajatini; Suhendra Suhendra; Greian April Pangilinan; Muhammad Ghifari Ilham
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.165

Abstract

The integration of AI in the financial sector has inspired significant innovation while introducing new dynamics related to risks and opportunities. The rapid adoption of AI technologies has transformed operational, strategic, and analytical processes, creating substantial potential for growth alongside critical challenges. This study examines the transformative impact of AI on the financial sector, focusing on its innovative applications, associated risks, and opportunities. Key areas of exploration include the enhancement of operational efficiency, the development of innovative financial products, and the mitigation of risks through AIMLdriven solutions. A qualitative approach was employed, involving an extensive review of literature, industry reports, and regulatory frameworks. Thematic analysis was conducted to identify recurring patterns, while triangulation ensured the reliability of findings. Consultations with AI and financial experts further validated the study. The findings reveal that AI innovations, such as intelligent algorithms, big data analytics, and machine learning (ML), enhance operational efficiency, improve decision ML making processes, and strengthen market predictions. However, risks such as data security breaches, model uncertainty, and ethical concerns remain significant. Addressing these risks requires robust governance frameworks, ethical AI design, and compliance with evolving regulatory standards. By addressing risks and leveraging opportunities, the financial sector can optimize the transformative potential of AI, manage challenges effectively, and achieve sustainable growth. This study fills a critical gap in the literature by linking AI integration to practical implications for financial inclusion and risk mitigation, particularly in emerging markets and underserved communities.