Edge AI and Autonomous Agents in the Restructuring of Digital Media Networks
Abstract
The digital media industry is undergoing a transformative evolution driven by the convergence of Edge Artificial Intelligence (Edge AI) and autonomous agents. These technologies empower media networks to become selfupdating, adaptive, and resilient, delivering highly personalized content while optimizing operational efficiency. This paper provides a comprehensive analysis of the technological frameworks, deployment strategies, governance models, and cybersecurity considerations critical for the development of next-generation intelligent media platforms. It explores the role of research centers, data hubs, and regulatory frameworks in ensuring robust, secure, and ethical operations. Furthermore, the study examines market trends, adoption statistics, case studies, and success stories, highlighting opportunities, challenges, and emerging technologies poised to redefine the digital media landscape. By integrating technical, operational, and governance perspectives, this research offers a holistic framework for designing, deploying, and managing autonomous media networks in an increasingly competitive and complex global environment.
Fields of Study & Subjects
Technology's Impact on Media
IoT and Edge/Fog Computing
Advanced Data and IoT Technologies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 3 February 2026
- Document type
- Preprint