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The Road to Self-Driving Networks with Marvis

The Road to Self-Driving Networks with Marvis

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In this episode of The Q&AI Podcast, Bob sits down with Sudheer Matta, Senior VP of Product Management at Juniper Networks, to explore the architectural evolution of AI-native networking. They unpack the journey of Marvis®—from anomaly detection to autonomous remediation—and what the Marvis Actions 2.0 facelift means for network design.

Sudheer shares how Mist™ is building trust in AI by giving users visibility and control, and how this shift is laying the groundwork for fully self-driving networks. Tune in as Bob and Sudheer discuss the strategic implications of AI in network architecture and what it takes to design networks that can think, act, and heal themselves.

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Key points covered:

The evolution of Marvis Actions: How Mist is advancing from anomaly detection to autonomous remediation in network operations

Architecting for AI-native automation: Key considerations for designing networks that support both driver-assist and self-driving capabilities

Trust and transparency in automation: How Marvis 2.0 empowers users with visibility and control over AI-native actions

Operational intelligence at scale: Leveraging continuous data analysis to proactively detect and resolve network issues

Preparing for agentic AI: How current innovations in Marvis lay the groundwork for scalable, intelligent, and self-healing network architectures

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Where to find Sudheer Matta?

LinkedIn – https://www.linkedin.com/in/sudheermatta/

Where to find Bob Friday?

LinkedIn – https://www.linkedin.com/in/bobfriday/

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Keywords

Network Automation, agentic AI, marvis actions, marvis minis, self-driving network, AI-powered remediation, AI-driven networks, automatic issue resolution, human intervention, proactive network maintenance, network monitoring, network security sensitivity, network compliance regulations, network insights, Marvis Actions benefits, strategic decision-making in networks, machine learning development, AI networking advancements, dynamic response

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We hope you enjoyed this episode!

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