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Meter's Approach to AI-Driven Network Automation

Sunil Varanasi, CTO and Co-Founder of Meter, discusses the company's strategy for applying artificial intelligence to enterprise networking. Varanasi addresses a fundamental tension in the industry: how to reconcile the deterministic requirements of network engineering with the probabilistic nature of large language models. He reveals Meter's solution and explains why the company focuses its development efforts on autonomous networks rather than general-purpose AI tools. The conversation explores how Meter trains domain-specific models and the company's multi-year investment roadmap for delivering network automation capabilities to IT teams.

*What You Will Learn:*
Why determinism presents a unique challenge when applying AI to network management
How Meter develops domain-specific models for networking applications
The role of API and virtualization layers in creating predictable AI outcomes
Meter's product philosophy around autonomous networks versus general AI
The company's investment timeline and priorities for network automation
How autonomous network technology empowers IT engineering teams

📚 CHAPTERS:
0:00:00 - Determinism Challenges in AI-Powered Networking
0:00:18 - Building a Domain-Specific Network Model
0:00:31 - Customer Outcomes and Fleet Management
0:00:50 - Strategic Investment in Autonomous Networks
0:01:05 - Empowering IT Engineers with Network Automation

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