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

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.

Authors

Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-04-25
DOI
https://doi.org/10.32996/jcsts.2025.7.2.56
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Siva Prasad Sunkara
Journal of Computer Science and Technology Studies
Big Data and Business Intelligence
article

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

Siva Prasad Sunkara
article en

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.

Journal of Computer Science and Technology StudiesVol. 7(2)
Openalex Percentile: Top 87%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.