David Bombal #547: How AI Changes Network Engineering 2025
Feb 20, 2026
Anurag Dhingra, a Senior Cisco executive and engineer leading enterprise networking and collaboration, talks about AI reshaping network operations. He covers agentic AI automating routine tasks, Edge AI running inference closer to devices, Cisco Unified Edge hardware, and AI Defense for model and network security. Short, forward-looking, and tech-focused conversation.
AI Snips
Chapters
Transcript
Episode notes
Delegate, Then Review
- Delegate routine tasks to AI agents but always review proposed changes before production.
- Treat your role as reviewer and approver rather than blindly trusting agent outputs.
Edge Shift From Purpose Models
- Smaller, purpose-built models will move inferencing toward personal devices and edge sites.
- Networks must be redesigned for new traffic patterns, density, latency, and security from agentic endpoints.
Robots Need Local Inference
- In factory floors robots run AI models and latency to remote data centers harms assembly lines.
- Customers bring inferencing closer to robots to avoid latency and keep production steady.