The AI-Driven Future of Real-Time Telemetry Analytics in Computer Networks

Abstract

In recent years, the exponential growth in data generated by computer networks has necessitated advanced analytics for real-time insights. This paper explores the role of artificial intelligence (AI) in transforming telemetry analytics, focusing on enhanced real-time monitoring, anomaly detection, and network optimization. The integration of AI enables the processing of vast amounts of telemetry data, offering unprecedented accuracy and speed. This paper examines recent developments in AI-driven telemetry, discusses potential applications, and outlines the challenges and future directions for real time analytics in computer networks.