ARTIFICIAL INTELLIGENCE AND THE INTERNET OF THINGS: TRANSFORMATIVE STRATEGIES FOR ADDRESSING TECHNOLOGICAL CHALLENGES AND SUSTAINABLE DEVELOPMENT

The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) represents a transformative shift in technological innovation, enabling advanced capabilities for interconnected systems across industries. However, this integration also introduces critical challenges that demand immediate attention. IoT ecosystems face significant cybersecurity vulnerabilities due to their expansive attack surface and inconsistent security protocols. Scalability issues arise as billions of devices generate massive amounts of data, placing unprecedented strain on existing network infrastructures. Additionally, interoperability gaps stemming from fragmented ecosystems and proprietary technologies hinder seamless communication between devices, limiting the potential of IoT. Moreover, the environmental impact of large-scale IoT deployment raises concerns regarding energy consumption, electronic waste, and sustainability. AI-driven solutions offer promising strategies to address these challenges. By leveraging predictive analytics, machine learning, and edge computing, AI enhances cybersecurity, optimizes scalability, and facilitates interoperability in IoT systems. Furthermore, AI promotes sustainability through intelligent energy management and lifecycle optimization of IoT devices.