Host Bob Friday and Juniper Product Marketing Director Jay Gill discuss extending cloud AIOps to the data center using Marvis® Minis and Apstra Data Center Director for proactive application health. They cover agentic AI as the key to automation and the crucial role of networking for AI in maximizing expensive GPU resource efficiency.

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Key points covered:

Cutting through AI hype: Differentiating between marketing claims and the current reality of AI adoption in the data center

AIOps in the data center: Extending the client-to-cloud user experience model using Marvis Minis for application health and proactive maintenance

Apstra Data Center Director vs. data center assurance: Understanding how the on-premises Data Center Director fabric management is complemented by new cloud-based AIOps tools

The rise of agentic AI: Defining the agentic framework as the enabler for conversational networking and true autonomous action in the data center

Networking for AI: Discussing the unique challenges and requirements of high-performance networks in AI data centers to ensure reliable job completion and maximize GPU resource efficiency

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Where to find Jay Gill

LinkedIn – https://www.linkedin.com/in/jay-gill-0539031/

Where to find Bob Friday

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

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Keywords

AI for Networking, Data Center, Juniper, Marvis Minis, Cloud AIOps, Agentic AI, Intent-Based Networking, Apstra, Digital Twin, Operations Application Visibility, Self-Driving Networks, Client-to-Cloud User Experience, Data Center Assurance, Congestion Management, Hybrid Cloud, Large Language Models Automation, Troubleshooting

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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, Bob Friday sits down with Professor Yongsheng Chen from Georgia Tech to explore the transformative role of AI in agriculture. From early neural networks to cutting-edge urban farming systems, Professor Chen shares his journey from environmental engineering to building AI-powered agricultural ecosystems. Tune in as they discuss precision farming, hyperspectral imaging, decentralized food systems, and the future of urban agriculture powered by reclaimed resources and autonomous

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Key points covered:

AI’s evolution in agriculture: From early neural networks to modern machine learning applications in crop monitoring and yield prediction

Precision farming with imaging and sensors: Using satellite, drone, and robotics data to optimize fertilizer and pesticide use

Urban farming and decentralized agriculture: Repurposing urban spaces for sustainable food production using AI and reclaimed resources

Georgia Tech’s pilot systems: Real-world implementation of controlled environment agriculture using dorm wastewater and AI-driven monitoring

Networking’s role in smart agriculture: How connectivity and real-time data enable autonomous farming systems and decision-making

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Where to find Prof. Yongsheng Chen

LinkedIn: – https://www.linkedin.com/in/yongsheng-chen-2823521b4/

Where to find Bob Friday

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

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Keywords

AI in agriculture, Urban farming, Decentralized agriculture, Controlled environment agriculture, Precision farming, Hyperspectral imaging, Machine learning in farming, Sustainable food systems, Agricultural robotics, Vertical farming, Reclaimed water irrigation, Smart agriculture, AI-powered crop monitoring, Networking in agriculture, Georgia Tech agriculture research

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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, Bob Friday sits down with Jon Lloyd, Field CTO at CBTS, to explore how Managed Service Providers (MSPs) are evolving in the age of AI. From the shift to dynamic, post-COVID enterprise networks to the rise of agentic AI, Jon shares how CBTS is helping customers navigate complexity, trust AI-driven insights, and build toward autonomous operations. Tune in as they discuss the role of AIOps, the future of agentic AI services, and why AI should be seen as an enabler—not a competitor—for MSPs and enterprises alike.

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Key points covered:

The evolving role of MSPs: How post-COVID enterprise networks demand continuous optimization and real-time responsiveness

AI as an enabler, not a replacement: Using AIOps and LLMs to enhance service delivery, reduce ticket volume, and improve SLAs

Building trust in AI: Why transparency, verification, and human oversight remain critical in enterprise AI adoption

Agentic AI as a service: How CBTS is helping enterprises move from generative AI to autonomous agents—securely and privately

The future of cloud AIOps: Predictions on consolidation, standardization, and the next phase of intelligent automation

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Where to find Jon Lloyd

LinkedIn – https://www.linkedin.com/in/jonathan-lloyd-a3828331/

Where to find Bob Friday

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

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Keywords

Managed Service Providers (MSPs), AI in enterprise, AIOps, Agentic AI, Autonomous networking, Touchless data center, Enterprise IT automation, AI-powered MSPs, Network optimization, Post-COVID enterprise networks, Private AI platforms, AI trust and transparency, SLA improvement with AI, Cloud AIOps strategy, AI in digital transformation

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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!