IJBTT

Democratizing AI Across your Organization Using Cloud - AWS, Azure, and GCP
	© 2025 by IJCTT Journal
	Volume-73 Issue-5
	Year of Publication : 2025
	Authors : Srinivasa Rao Atta, Goutham Bandapati
	DOI :  10.14445/22312803/IJCTT-V73I5P102

How to Cite?

Srinivasa Rao Atta, Goutham Bandapati, "Democratizing AI Across your Organization Using Cloud - AWS, Azure, and GCP," International Journal of Computer Trends and Technology, vol. 73, no. 5, pp. 7-13, 2025. Crossref, https://doi.org/10.14445/22312803/IJCTT-V73I5P102

Abstract
The democratization of Artificial Intelligence (AI) signifies a paradigm shift, extending AI capabilities beyond specialized experts to a broader spectrum of users within organizations [1, 6]. This movement fundamentally reshapes business operations by making AI tools, techniques, and insights widely accessible [1]. Empowering employees across departments to leverage AI fosters smarter decision-making, enhances operational efficiency, stimulates innovation [4, 9], and ultimately strengthens competitive advantage [4, 5]. Leading public cloud providers—Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP)-are pivotal in driving this democratization [ 2]. They offer a tiered portfolio of AI services, ranging from accessible pre-built APIs and low-code/no-code platforms for business users [ 3, 5] to comprehensive MLOps platforms for scaling specialized expertise. However, technology alone is insufficient [9]. Successful AI democratization necessitates significant organizational adaptation, including robust investment in training and upskilling [12], ensuring broad data accessibility ("data democratization"), fostering cross-functional collaboration, establishing transparent governance and ethical frameworks for responsible AI use [13], and implementing diligent cost management strategies [5]. By holistically addressing technological and organizational dimensions, businesses can unlock widespread innovation, drive significant efficiency gains, and cultivate a data-driven, adaptable, and future-ready workforce [1].

Keywords
AI, Cloud Computing, AWS, GCP, Azure, AI Democratization, Cloud Services, AI Services & APIs, MLOps, Responsible AI, Low-Code/No-Code AI, Generative AI.

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