Journal of Advances in Developmental Research

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How AI Can Enhance Cloud-Based Data Pipelines

Author(s) Vivek Prasanna Prabu
Country United States
Abstract In the era of big data and digital transformation, cloud-based data pipelines have become the backbone of modern enterprise data infrastructure. These pipelines orchestrate the collection, transformation, movement, and integration of data across diverse systems in real time or batch processing modes. As businesses generate exponentially growing volumes of data, the need for scalable, efficient, and intelligent data management is more critical than ever. Artificial intelligence (AI) offers transformative potential for optimizing cloud data pipelines by automating workflows, improving data quality, predicting failures, and enhancing real-time decision-making.
By integrating AI into cloud-native environments, organizations can dynamically allocate compute resources, detect anomalies in data flows, and optimize extract-transform-load (ETL) processes. AI-driven observability improves the reliability and transparency of pipeline operations, while machine learning algorithms enable proactive issue detection and self-healing capabilities. Moreover, AI enhances data lineage, metadata management, and security compliance—key pillars of robust data governance.
Enterprises such as Microsoft, Netflix, Uber, and Airbnb have pioneered the integration of AI into their data pipeline ecosystems, achieving greater data agility, operational efficiency, and faster time to insights. Despite these advances, organizations face challenges related to model explainability, data privacy, talent shortages, and integration complexity. This white paper explores the intersection of AI and cloud-based data pipelines, highlighting technological enablers, practical applications, case studies, and best practices for implementation. Through a detailed examination of how AI can unlock new capabilities in cloud data infrastructure, this paper aims to guide organizations in architecting intelligent, resilient, and future-ready data ecosystems.
Field Engineering
Published In Volume 15, Issue 2, July-December 2024
Published On 2024-08-02
Cite This How AI Can Enhance Cloud-Based Data Pipelines - Vivek Prasanna Prabu - IJAIDR Volume 15, Issue 2, July-December 2024. DOI 10.5281/zenodo.15155278
DOI https://doi.org/10.5281/zenodo.15155278
Short DOI https://doi.org/g9cs6q
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