AI-Powered Content Delivery and Edge Caching: Revolutionizing Digital Content Distribution

This article explores the transformative impact of artificial intelligence on content delivery networks and edge caching systems. As digital content consumption grows exponentially, traditional content delivery architectures face increasing challenges in meeting user expectations for seamless, instantaneous access. Integrating AI technologies has revolutionized how content is cached and delivered at network edges, enabling more efficient resource utilization and improved user experiences. Through comprehensive analysis of implementation cases across various industries, including streaming media, gaming, and ecommerce, this article examines how AI-powered systems optimize content distribution through predictive analytics and dynamic resource allocation. It investigates technical implementation considerations, infrastructure requirements, and integration challenges while evaluating performance metrics and business benefits. Furthermore, the article explores emerging trends and future developments in AI-powered content delivery, highlighting the growing importance of edge computing, advanced analytics, and sophisticated personalization capabilities in shaping the future of digital content distribution.

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Publication Details

Journal
International Journal of Advances in Engineering and Management
Published
2025-02-01
DOI
https://doi.org/10.35629/5252-0702196202
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Content Delivery and Edge Caching: Revolutionizing Digital Content Distribution

Sunil Kumar Gosai
3 links
International Journal of Advances in Engineering and Management
FinTech, Crowdfunding, Digital Finance
article

AI-Powered Content Delivery and Edge Caching: Revolutionizing Digital Content Distribution

Sunil Kumar Gosai
article en

Abstract

This article explores the transformative impact of artificial intelligence on content delivery networks and edge caching systems. As digital content consumption grows exponentially, traditional content delivery architectures face increasing challenges in meeting user expectations for seamless, instantaneous access. Integrating AI technologies has revolutionized how content is cached and delivered at network edges, enabling more efficient resource utilization and improved user experiences. Through comprehensive analysis of implementation cases across various industries, including streaming media, gaming, and ecommerce, this article examines how AI-powered systems optimize content distribution through predictive analytics and dynamic resource allocation. It investigates technical implementation considerations, infrastructure requirements, and integration challenges while evaluating performance metrics and business benefits. Furthermore, the article explores emerging trends and future developments in AI-powered content delivery, highlighting the growing importance of edge computing, advanced analytics, and sophisticated personalization capabilities in shaping the future of digital content distribution.

International Journal of Advances in Engineering and ManagementVol. 7(2)
Klinik und Poliklinik für Psychosomatik und Psychotherapie (DE)
Openalex Percentile: Top 96%
FinTech, Crowdfunding, Digital Finance
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