AI-Driven Enterprise Cloud Solutions: Balancing Innovation, Privacy, and Ethics for Sustainable Business Transformation and Stakeholder Trust

Authors

  • Siva Prasad Sunkara Microsoft Corporation, USA

DOI:

https://doi.org/10.32996/jcsts.2025.7.2.56

Keywords:

Enterprise AI Ethics, Data Privacy Compliance, Algorithmic Bias Mitigation, Cloud Solution Governance, Responsible Innovation

Abstract

This article explores the complex interplay between artificial intelligence, data privacy, and ethical considerations within enterprise cloud solutions. As organizations increasingly adopt AI-powered CRM, ERP, and automation systems, they face the dual challenge of driving business innovation while safeguarding societal trust. The discussion examines how companies can implement enhanced data privacy compliance mechanisms, detect and mitigate algorithmic bias, and establish robust governance frameworks. By analyzing current regulatory landscapes, technical solutions, and organizational strategies, the article provides a comprehensive examination of how businesses can balance operational efficiency with ethical responsibility. This article contributes valuable insights for technology leaders, compliance officers, and executives seeking to harness AI's transformative potential while upholding principles of transparency, fairness, and privacy in an increasingly data-driven business environment.

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Published

2025-04-25

Issue

Section

Research Article

How to Cite

Siva Prasad Sunkara. (2025). AI-Driven Enterprise Cloud Solutions: Balancing Innovation, Privacy, and Ethics for Sustainable Business Transformation and Stakeholder Trust. Journal of Computer Science and Technology Studies, 7(2), 529-537. https://doi.org/10.32996/jcsts.2025.7.2.56