Embracing the Digital Horizon: Advanced AI and Intelligent Systems for Transformative Commerce and Management (Emerging Trends in Computation Intelligence and Disruptive Technologies)

Daniel, D. Arul Pon

ISBN 13: 9798898814465

Published by Bentham Science Publishers, 2026

About this Item

Seller Inventory # I-9798898814465

Bibliographic Details

• Title: Embracing the Digital Horizon: Advanced AI and Intelligent Systems for Transformative Commerce and Management (Emerging Trends in Computation Intelligence and Disruptive Technologies)
• Publisher: Bentham Science Publishers
• Publication Date: 2026
• Language: English
• ISBN 13: 9798898814465
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Embracing the Digital Horizon is a comprehensive collection of cutting-edge research, anchored in multidisciplinary innovation, that captures the rapid evolution of artificial intelligence, intelligent systems, and advanced engineering technologies shaping modern commerce and management.

With rigorously peer-reviewed chapters, the book covers embedded hardware–software co-design, energy-efficient and sustainable architectures, intelligent sensing, real-time optimisation, advanced control systems, with additional focus on cyber-physical integration, IoT-enabled automation, machine-learning-driven decision frameworks, and robotics applications. Each contribution combines strong theoretical foundations with experimental validation, analytical modelling, comparative evaluations, and real-world case studies, effectively bridging academic research and industry practice.

With its emphasis on scalable, sustainable, and intelligent automation, the book offers valuable insights into next-generation digital ecosystems and the technologies driving transformation across engineering, commerce, and management.


Key Features:

-Multidisciplinary coverage of AI, intelligent systems, automation, and embedded technologies.
-Application-driven research with real-world engineering and industrial case studies.
-Comparative evaluation of modern computational, control, and optimisation methods.
-Integration of AI, IoT, cyber-physical systems, and robotics for smart environments.
-Focus on scalable, sustainable, and future-ready intelligent automation strategies.
-Identification of emerging research challenges and future innovation pathways.