Digital experience twins have arrived for enterprise networks, and it's changing everything about how IT teams manage infrastructure. Meet Marvis Minis — Juniper Networks' groundbreaking digital twin technology that acts as your virtual user, constantly testing network connectivity and application performance when real users aren't present.

Juniper’s Kumar Putta Swamy and Shirley Wu join us to explore how this game-changing innovation helps network administrators validate

The impact for customers has been substantial. Already deployed across 16,000 sites, Marvis Minis have

What sets this technology apart is its complete client-to-cloud visibility and integration with Juniper's Marvis® AI engine. The system automatically detects configuration changes, builds appropriate test plans, executes validations, and feeds results back to Marvis for correlation and root cause analysis. Even more impressive —

For network teams struggling with changes that break applications in unexpected ways, Marvis Minis offers a proactive solution that identifies problems before users ever experience them. Ready to see how your network performs when nobody's watching? Discover how digital experience twins are transforming network operations and user experience.

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Key points covered:

Introduction to Marvis Minis

Benefits of Marvis Minis

Examples of Marvis Minis in action

Technical details of Marvis Minis

Deployment and updates

Customer use cases

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Where to find Kumar?

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

Where to find Shirley?

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

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We hope you enjoyed this episode!

Bob, Principal Analyst at Cube Research, reveals fascinating insights on enterprise AI adoption from his latest research. His four-stage adoption model shows organizations progressing from basic alerts (21%) to recommendations (28%), manual automation (26%), and fully automated responses (24%), highlighting the journey as enterprises build trust in AI systems.

• Research shows enterprises slowly gaining comfort with AI adoption across four distinct stages
• An astonishing 97% of enterprises would switch vendors for better AI operations technology
• The 20-60-20 "maturity model" applies to AI adoption with leaders embracing full automation
• Getting started with AI is crucial for organizations to build experience and confidence
• Consumer AI applications like ChatGPT help enterprises get comfortable with the technology
• Network complexity increases the need for AI-driven operational efficiency
• To identify genuine AI solutions, look for vendors with 5-10+ years of experience
• Effective AI systems incorporate closed-loop feedback and leverage customer support insights

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Key points covered:

Adoption of AI in enterprises: The discussion highlights the different stages of AI adoption in enterprises, ranging from generating alerts to fully automating responses. It emphasizes the importance of organizations becoming comfortable with AI technology and gradually transitioning from manual automation to full automation.

Impact of AI on vendor selection: The conversation reveals that a significant percentage of enterprises are willing to switch vendors if they can get better AI operations technology. This underscores the value enterprises place on AI solutions and their potential to drive operational efficiency.

Evaluating AI solutions: The document discussion provides insights into how enterprises can differentiate between marketing AI and real AI. Key indicators include the vendor's experience, the presence of a closed-loop system, and collaboration with customer support teams to ensure the efficacy of AI solutions.

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Where to find Bob Laliberte?

LinkedIn - https://www.linkedin.com/in/boblaliberte90/

Website - https://thecuberesearch.com/

Where to find Bob Friday?

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

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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 Nagarjun Srinivasan, cofounder of Lune and former Juniper engineer, to explore how AI is transforming the music industry. From winning an innovation award at South by Southwest to developing AI-powered learning tools, Nagarjun shares insights on how technology is reshaping music education, creation, and performance.

They discuss AI’s role in music transcription, gamification for skill building, the ethical challenges of AI-generated music, and the future of AI-assisted content creation. Tune in to discover how AI is making music more accessible and interactive for both beginners and professionals.

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Key points covered:

Winning at South by Southwest: How Lune started as an experimental prototype and went on to win an Innovation Award for Human-Computer Interaction

AI for music learning: AI’s role in transcribing music, generating real-time feedback, and making learning more engaging through gamification

Gamification and muscle memory: How AI-powered games help musicians develop dexterity and improve faster

AI for content creators: How AI is streamlining music production, mixing, and mastering, making professional-quality content more accessible

The copyright debate: The ethical and legal implications of AI-generated music, including lawsuits against companies using unlicensed music for training

AI vs human musicians: Will AI ever replace human musicians, or will it always be a tool for enhancing creativity?

The role of hardware in AI music: Why specialized hardware and data collection are crucial for advancing AI-driven music experiences

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Where to find Nagarjun Srinivasan?

LinkedIn - https://www.linkedin.com/in/nagarjun-srinivasan/

Where to find Bob Friday?

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

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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!