QKS TrendNXT: AI in Networking – Enhancing Performance, Efficiency, and Security

QKS Group, formerly known as Quadrant Knowledge Solutions, presents its latest TrendNXT report examining the transformative impact of Artificial Intelligence (AI) on modern networking environments. As enterprise infrastructure grows in complexity and scale, this report explores how AI is driving a paradigm shift, from reactive, rule-based models to predictive, autonomous networks capable of self-optimization and real-time threat response. 

This TrendNXT report dives deep into the ways AI is reshaping network performance, resource utilization, cybersecurity, and operational agility. It offers a comprehensive overview of AI’s integration across network functions, from traffic routing and dynamic QoS to predictive maintenance, anomaly detection, and multicloud management, highlighting both strategic advantages and practical implications. 

According to Arpita Dash, Analyst at QKS Group “AI has evolved from a peripheral enhancement to the strategic control plane of modern networking. It underpins autonomous traffic engineering, dynamic QoS enforcement, predictive fault detection, and adaptive security postures. In an era defined by distributed infrastructure, real-time applications, and multicloud complexity, AI is essential for ensuring networks are self-optimizing, resilient, and context aware. Enterprises must architect their networks with AI as a core decision-making layer, not an overlay.” 
 
Table of Contents 

• Introduction 

• Analyst Perspective 

• Why AI in Networking? 

• Key Use Cases 

• Human-AI Collaboration 

• Strategic Priorities (2025–2028) 

• Future Trends & Predictions 

 
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