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Global Business Perspectives | Horizon University UAE

 

Discover international and cross-cultural business insights in Horizon University’s Knowledge Update to stay informed on global business trends.

Generative AI (Large Language Models) in Supply Chain Management

Activities of Supply Chain Management have changed rapidly in the recent past due to the emergence of AI and digital technologies. Many processes in supply chain became automatic, relatively more accurate and fast.

The Role Of AI Interventions In T&L for HRM students

At Horizon University College, we understand that Artificial Intelligence (AI) is increasingly transforming higher education, redefining how students acquire knowledge, develop skills, and engage with academic content. For our HRM Major, integration of AI tools offers both opportunities and challenges (Jay, 2025).

Contemporary Technology & Hyper Personalized Marketing

Customer satisfaction is pivotal for any type of businesses. Rapid technological developments, changing market conditions and consumer behaviour etc., driving the marketers to act swiftly to meet the customer expectations and to retain the customer.

The Role of Robotics in Our Lives

 

Robotics has emerged as one of the most transformative technologies of the 21st century, redefining how we live, work, and interact with our environment. From healthcare and education to industry and personal life, robotics has become an indispensable part of modern society. This article explores the significant role robotics plays in our lives, highlighting its applications, benefits, and challenges.

Cultivating a Positive Mindset: A Framework for Personal Well-being

In a time of uncertainty, quick technology advancements, and increased stress, taking care of one's personal welfare has become crucial. People's general welfare is greatly influenced by the way they view and react to life, even when external factors are frequently out of their control. It is not necessary to embrace blind optimism or reject difficulties to cultivate a positive outlook.

Securing Internet of Underwater Things: Challenges and Emerging Solutions

The Internet of Underwater Things (IoUT) are emerging as a critical technology for applications such as oceanographic monitoring, offshore oilfield exploration, disaster prevention, and military surveillance. These networks, made up of sensor nodes deployed below the surface to collect and transmit data, offer transformative capabilities.

Applications of Large Language Models in Education

Large Language Models (LLMs) — e.g., GPT‑3, GPT‑4, LLaMA, etc. — are transforming many domains. In education, they offer opportunities to personalize learning, provide feedback, automate assessment, generate educational content, and support teachers. However, adoption also involves ethical, technical, and pedagogical challenges. This article reviews the applications, benefits, limitations, and future directions of LLMs in education.

Applications of Machine Learning Techniques in Wireless Networks

Wireless communication networks have grown significantly in recent years, owing to the expanding demand for ultra-fast data rates, dynamic allocation of network resources, and effective management of communication networks. The ease provided by mobility has led to widespread popularity of the cellular and WiFi wireless networks. Machine learning is expected to transform network services and quality of service. In this article, we explore the applications of machine learning technologies for optimization of network operations, performance improvement, and meeting the demands of the network end users.

Advanced Control of Silica Nanoparticle Size for Optimized Drug Delivery Systems

Abstract Silica nanoparticles (SiNPs) have gained significant attention in nanomedicine due to their tunable size, stability, and biocompatibility. Among the many factors influencing their performance in drug delivery, particle size is one of the most critical, as it affects biodistribution, cellular uptake, and therapeutic efficiency. This article reviews the key synthesis parameters that govern nanoparticle size, including precursor concentration, catalyst type, solvent composition, temperature, and reaction time.

The Role of Bio-Inspired Optimization Algorithms in Medical Feature Selection and Energy Consumption

The proliferation of high-dimensional data in healthcare and the increasing demand for intelligent energy management in smart homes have necessitated the development of advanced optimization techniques. Bio-inspired optimization algorithms—drawing inspiration from natural behaviors such as hunting, migration, and evolution—have demonstrated remarkable success in solving complex real-world problems. These algorithms are particularly effective in feature selection for medical data and in planning energy usage in renewable-powered smart environments.