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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YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C

We hope you enjoyed this episode!

In this episode of The Q&AI Podcast, host Bob Friday is joined by Kumar, Product Manager for Marvis®, and Navraj, Director at Juniper Networks, to discuss how Juniper’s Marvis Large Experience Model (LEM) is revolutionizing the way enterprises monitor and troubleshoot collaboration application performance.

Originally designed to correlate Zoom and Teams data with network metrics, LEM has evolved into a generalized, AI-driven system that can predict poor user experiences—even without third-party labels. The conversation explores the model’s architecture, real-world customer use cases, and how its integration with tools like Marvis Minis is accelerating the shift toward intelligent, self-driving networks.

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Key points covered:

Targeted troubleshooting: LEM pinpoints whether collaboration app issues stem from the network, client, or app, — eliminating guesswork.

AI-driven predictions: Trained on massive datasets, LEM forecasts video/audio quality using Juniper-only telemetry, even without third-party labels.

Root cause clarity: Uses Shapley values to break down contributing factors like Wi-Fi, WAN, or client-side issues.

Actionable insights: Automatically recommends and applies fixes (e.g., RF tuning, 5 GHz shifting) with measurable impact.

Smarter networks: With Marvis Minis and switch integration, LEM enables proactive, self-driving network operations.

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Where to find Kumar?

LinkedIn - https://www.linkedin.com/in/kumar-putta-swamy/

Where to find Navraj?

LinkedIn - https://www.linkedin.com/in/navraj-pannu-746359177/

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Keywords

Marvis Large Experience Model, Customer value proposition, Collaboration apps, Cloud integration, User experience, Juniper MIST data, Predictive model, Shapley algorithm, Network features, Bad user minutes, Generalized model, Self-driving actions, WAN issues, Wireless capacity, Application Minis, Gen-AI conversational interface

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To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:

Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892

Spotify - https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2

YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C

We hope you enjoyed this episode!

In this episode of The Q&AI Podcast, host Bob Friday welcomes Juniper’s Yedu Siddalingappa, Navraj Pannu, and Shirley Wu to discuss the evolution and future of the Marvis® AI Assistant. These advancements allow users—from helpdesk engineers to CIOs—to gain faster, more accurate insights and even generate dynamic dashboards.

The team also highlights how agentic workflows help reduce hallucinations by incorporating iterative validation and reflection. And finally, they discuss the ultimate vision with the assistant, which is to move toward a self-driving network, transforming how users manage and interact with their IT infrastructure.

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Key points covered:

Enhancements to the Marvis AI Assistant, including natural language interaction with network data using GenAI and implementation of agentic workflows for iterative, intelligent problem-solving.

How Marvis has evolved, transitioning from structured query interfaces (pre-2018) to natural language and LLM-powered interactions, shifting from static tools to dynamic, AI-driven troubleshooting and insights.

How the agentic framework uses multiple specialized agents to simulate human-like troubleshooting, enabling reflection, validation, and multi-perspective analysis to reduce hallucinations.

The impact for customers, such as significant reductions in trouble tickets (90%+) and mean time to resolution (95%+), as well as expanding use cases from network engineers to IT managers and CIOs.

The future of Marvis, moving toward a self-driving network with automated actions while empowering users to generate dynamic dashboards and make data-driven decisions.

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Where to find Yedu Siddalingappa?

LinkedIn - https://www.linkedin.com/in/yedu/

Where to find Navraj Pannu?

LinkedIn - https://www.linkedin.com/in/navraj-pannu-746359177/

Where to find Shirley Wu?

LinkedIn - https://www.linkedin.com/in/shirley-wu-ab32171/

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Keywords

IT organizations, Complexity, Team resources, Network operations, Marvis, Virtual network assistant, Conversational interface (CI), Natural language processing (NLP), Queries, Troubleshooting, GenAI capabilities, Network operations improvement

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To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:

Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892

Spotify - https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2

YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C

We hope you enjoyed this episode!