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Digital Deployment and Innovation Technology July 29, 2026

Global Digital Transformation: Pathways for Deployment Upgrade and Technological Innovation

Global Digital Transformation

  • Sanglin Zhao
  1. Sanglin Zhao City University of Hong Kong (Dongguan) ROR , City University of Hong Kong ROR , Macau University of Science and Technology ROR
Published 2026-07-29 Open access

Abstract

Digital technology has become a fundamental driving force for global economic and social restructuring. Emerging technologies such as artificial intelligence, big data, cloud edge computing, digital twins and blockchain are transforming digital research from laboratory exploration to large-scale engineering promotion.

Unlike traditional journals that prioritize pure algorithmic theory, the goal of Digital Deployment and Innovation Technology is to integrate digital theory, engineering deployment, and industrial innovation. It emphasizes practicality and deployability to compensate for the widespread neglect of situational adaptation in mainstream academic research. Modern digital deployment has evolved into a system engineering that covers architecture design, resource allocation, terminal coordination, and network security. With the expansion of 5G/6G and industrial Internet, the traditional deployment framework cannot meet the requirements of cross domain collaboration, lightweight deployment and stable and high security operation.

This magazine advocates scenario oriented innovation and deployment centered theoretical upgrading. It gathers research on digital infrastructure, artificial intelligence deployment, digital twins, network security, and industrial digitization, linking academic research with on-site practice. Faced with the deepening global digital transformation in the fields of manufacturing, cities, energy, and education, the integration of cutting-edge technologies has brought both opportunities and obstacles. This journal provides an open academic platform to share standardized deployment solutions and innovative methods, promoting efficient translation of digital achievements and high-quality growth of the digital economy.

Keywords

  • digital transformation
  • engineering deployment
  • technology iteration
  • industrial application
  • digital innovation

Author Biography

  • Sanglin Zhao, City University of Hong Kong (Dongguan), City University of Hong Kong, Macau University of Science and Technology

    Sanglin Zhao,Research assistant at City University of Hong Kong (Dongguan),Member of the Chinese Society of Technology and Economics, and member of the Chinese Association of Science Popularization Writers. previously served as a reviewer for journals such as EAAI.His research papers have been published in journals such as JACC and International Journal of Medical Informatics, focusing on interdisciplinary applications of machine learning and digital economy.

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