The Intelligent Backbone Big Data And Machine Learning Driving Telecom Range And Security
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THE INTELLIGENT BACKBONE Big Data and Machine Learning Driving Telecom Range and Security
Author: Venkata Bharadwaj Komaragiri
language: en
Publisher: CANEDA GLOBAL JOURNAL GROUP
Release Date:
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Engineering the Digital Backbone of the Future: Data Infrastructure, 5G Connectivity, Cloud Networks, and AI Solutions Across Media, Telecom, and Healthcare Industries
Author: Hara Krishna Reddy Koppolu
language: en
Publisher: Deep Science Publishing
Release Date: 2025-06-06
As we navigate the accelerating wave of digital transformation, the convergence of data infrastructure, 5G connectivity, cloud networks, and AI is building the foundational framework for tomorrow’s intelligent world. Engineering the Digital Backbone of the Future: Data Infrastructure, 5G Connectivity, Cloud Networks, and AI Solutions Across Media, Telecom, and Healthcare Industries explores how these powerful technologies are reshaping the very fabric of industrial innovation and digital society. At the heart of this evolution lies a simple truth: the next generation of services—whether in streaming media, advanced telecom networks, or patient-centric healthcare—depends on fast, reliable, and intelligent digital systems. The global push toward real-time responsiveness, ultra-low latency, and hyper-connectivity is making once-distant possibilities a present reality. From edge computing in hospitals to AI-powered analytics in media delivery and autonomous network management in telecom, the digital backbone is being engineered with precision, scale, and resilience. This book is intended for engineers, technologists, researchers, and business leaders who are shaping or adapting to this transformation. It provides a detailed examination of the architecture, standards, deployment models, and innovations fueling the digital ecosystems across multiple industries. Case studies and real-world implementations offer tangible insights into how data infrastructure and intelligent networks are not only enabling efficiency but also empowering entirely new user experiences. Moreover, the book delves into the strategic role of cross-industry collaboration, the regulatory considerations that must evolve alongside technology, and the ethical imperatives of building inclusive and secure digital environments. In an increasingly connected world, the digital backbone is more than just infrastructure—it is the engine of economic resilience, social equity, and technological leadership. This book serves as both a guide and a vision for those committed to architecting the future with intelligence, scalability, and purpose.
Integrating Artificial Intelligence Into the Energy Sector
Author: Derbali, Abdelkader Mohamed Sghaier
language: en
Publisher: IGI Global
Release Date: 2025-04-08
Artificial intelligence (AI) plays a crucial role in the energy sector, equipping machines with the capability to acquire knowledge and make decisions aimed at solving problems or enhancing outcomes to achieve specific objectives. The integration of AI in the energy domain holds promise in addressing climate change, reducing emissions resulting from technological advancements in industry, maintaining energy equilibrium, and mitigating environmental impacts. The integration of AI into the energy sector proves to be indispensable in furnishing industry and households with novel information services for overseeing energy infrastructure. This includes optimizing power generation, curbing consumption, and combating climate change, among other practices that underscore the potential role of AI. Integrating Artificial Intelligence Into the Energy Sector explores the applications of AI in energy sectors, and their usage in business, home, and organizational improvement. It examines solutions for sustainability, infrastructure development, and data management. This book covers topics such as data science, electric vehicles, and cloud computing, and is a useful resource for data scientists, engineers, business owners, climatologists, academicians, and researchers.