Generative AI advances for data-driven insights in IoT, cloud technologies, and big data challenges
1 Independent Researcher, Texas USA.
2 Independent Researcher, NJ, USA.
3 Independent Researcher, Canada.
4 Independent Researcher, Lagos Nigeria.
5 Independent Researcher, Nigeria.
Review
Open Access Research Journal of Multidisciplinary Studies, 2023, 06(01), 051-059.
Article DOI: 10.53022/oarjms.2023.6.1.0040
Publication history:
Received on 15 August 2023; revised on 25 September 2023; accepted on 28 September 2023
Abstract:
Generative AI has emerged as a transformative force in addressing complex challenges within IoT, cloud technologies, and big data ecosystems. This paper explores the multifaceted role of Generative AI in enabling intelligent data analysis, optimizing resource allocation, and overcoming the inherent complexities of big data processing. It identifies key barriers, including scalability limitations, ethical concerns, and regulatory constraints, and underscores the need for responsible adoption. The paper highlights innovative applications such as predictive analytics, anomaly detection, and advanced simulations, demonstrating how Generative AI fosters system optimization and autonomous decision-making. Finally, actionable recommendations are proposed for researchers, industry practitioners, and policymakers to collaboratively harness the potential of Generative AI while ensuring ethical and sustainable practices. By integrating Generative AI across IoT, cloud, and big data domains, stakeholders can unlock new avenues for technological advancement and societal benefit.
Keywords:
Generative AI; IoT (Internet of Things); Cloud Technologies; Big Data Analytics; Predictive Analytics; Ethical AI Adoption
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0