<ul><li>AI revolution is changing network management by automating decision-making and optimizing infrastructure.</li><li>AI in networks enables predictive maintenance, anomaly detection for security, and dynamic QoS for traffic prioritization.</li><li>In data centers, AI optimizes cooling, resource allocation, self-healing, and service establishment for increased efficiency.</li><li>Edge computing is gaining importance for AI workloads to reduce latency and bandwidth costs.</li><li>Challenges with AI implementation include data quality, complexity, and security risks like adversarial attacks.</li><li>Future trends include AI-native networking, optimized chips, and carbon-neutral data centers using AI scheduling.</li><li>AI is enhancing networks and data centers to be more efficient, but human supervision is still essential.</li><li>The future vision includes AI-driven architecture, self-healing systems, and AI-first chipsets.</li></ul>

AI Wants to Fix Your Network Before It Breaks—But Can You Trust It?

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