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The Everything Feed - All Packet Pushers Pods

HS095: The Journey to a Self-Healing Network: Intelligence, Agents, and Complexity (Sponsored)

Feb 18, 2025
Dale Skeen, Founder and CTO of Vitria, and independent analyst Charlotte Patrick dive into the world of autonomous networks and AI-driven automation. They explore the intricacies of self-diagnosing systems and the vital role of agents in enhancing network independence. The duo discusses the challenges of implementing AI in telecommunications, including the importance of feedback loops and governance. Their conversation highlights the need for human oversight in automating complex decisions and the potential innovations AI can bring to network management.
37:06

Podcast summary created with Snipd AI

Quick takeaways

  • Achieving full network autonomy involves navigating distinct complexity levels, where level four networks start to utilize multi-agent systems for decision-making.
  • Closed-loop automation is essential for self-healing networks, allowing continuous feedback that enhances AI decision-making through iterative evaluations of agent actions.

Deep dives

Understanding Levels of Network Autonomy

Levels four and five of network autonomy represent significant milestones in the transition towards fully autonomous networks. Level four indicates a highly autonomous network making decisions largely independently, whereas level five denotes complete self-management without any human intervention. Within level four, entities can be further divided into 4A and 4B, with 4A utilizing a simple agent system and 4B employing more complex multi-agent systems. This delineation emphasizes the gradual sophistication required to achieve full network autonomy, illustrating the extendable roadmap that telecom companies must navigate to realize these advancements.

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