The Art of Network Engineering
Ep 130 - Exploring the Influence of AI on Network Engineering
Oct 11, 2023
The podcast discusses the integration of AI in network management, including automated troubleshooting and proactive notifications. It explores the potential use of AI in network engineering for tasks such as log analysis, security, and network configuration. The chapter also highlights the challenges and benefits of using AI in network provisioning, vendor conversion, and major upgrades. Additionally, it explores privacy implications, trust issues, and the role of AI in network optimization and self-healing.
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Quick takeaways
- AI can streamline network configuration changes, troubleshoot issues, and manage network operations proactively.
- AI can optimize network performance by analyzing data, identifying areas of inefficiency, and suggesting improvements.
Deep dives
AI in Network Troubleshooting
AI can be leveraged to analyze network data, detect anomalies, and provide proactive notifications to troubleshoot issues before they become critical. It can correlate data from various sources to identify potential problems, and suggest solutions or next steps for resolution. AI can also assist in identifying security breaches, analyzing logs, and providing insights to improve network operations and enhance overall security.
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