Eurasian Journal of Academic Research 4-jild 12-son (2024) · 29–33-betlar

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

Xasanov, Ibrohim

DOI: 10.5281/zenodo.14852674 · Manbada o'qish →

Annotatsiya

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 introducer 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

Artificial Intelligence, Internet of Things, Cybersecurity, Scalability, Interoperability, Predictive Analytics, Sustainability, Edge ComputingИскусственный интеллект, Интернет вещей, Кибербезопасность, Масштабируемость, Совместимость, Прогнозная аналитика, Устойчивость, Периферийные вычисленияSun'iy intellekt, Narsalar interneti, Kiberxavfsizlik, Masshtablashuvchanlik, O'zaro moslashuvchanlik, Prognozli tahlil, Barqarorlik, Chegara hisoblash

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex to'liq matnni saqlamaydi, manbaga havola beradi.