The Raise of Networking Productivity Challenges
The landscape of networking has undergone significant transformations in recent years, driven by technological advancements and changing business requirements. Cisco's Visual Networking Index (VNI) Forecast predicts that global IP traffic will reach 4.8 zettabytes per year by 2022, highlighting the substantial growth in data transmission (Cisco, 2019). Key factors contributing to this evolution include:
Evolving Technologies: Staying updated with advancements in AI, IoT, and networking technologies ensures that networking strategies remain relevant and effective in the face of evolving challenges and opportunities.
Real-Time Data Processing: AI-driven analytics facilitate real-time data processing, enabling swift and data-informed decision-making.
Enhanced Security Measures: AI-powered threat detection strengthens network defenses against evolving cyber threats, allowing devices to collaborate in the learning process while keeping sensitive information localized.
AI-Powered Cybersecurity Solutions: Security concerns remain paramount, and advancements in AI-powered cybersecurity solutions are set to revolutionize threat detection and response, autonomously identifying and mitigating potential risks (Suresh Babu, C. V., Dhanusha, T., et al., 2023).
Moreover, AIoT (Alahi, E. E & Sukkuea, 2023) offers dynamic scalability and resource allocation, ensuring networks can adapt to changing demands. As data-driven insights become integral, organizations can personalize user experiences and make strategic decisions.
Aim
This chapter paper aims to explore the potential of integrating Artificial Intelligence of Things (AIoT) in networking environments to enhance productivity. It seeks to investigate how AIoT technologies can optimize networking operations, improve efficiency, and drive organizational productivity in both traditional and emerging networking paradigms.