Скачать или смотреть Q&AI: Trust, Verify, Automate: AI’s Role in Modern Managed Services

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.

-----

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

-----

Where to find Jon Lloyd

LinkedIn –   / jonathan-lloyd-a3828331  

Where to find Bob Friday

LinkedIn –   / bobfriday  

-----

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...

Spotify - https://open.spotify.com/show/0S1A318...

-----

1. Introduction and guest background

Welcome and introduction of John Lloyd from CBTS, overview of managed service providers and John's experience. 0:04

2. Impact of COVID on enterprise networking

Discussion on how COVID changed network dynamics, remote work, and the need for constant optimization. 1:49

3. Role of AI in managed services

Exploration of AI as an enabler for MSPs—not a replacement for people—and how AI improves ticket resolution and SLAs. 3:33

4. Building trust in AI and MSPs

Addressing enterprise concerns about trusting AI and MSPs and the importance of transparency and verification. 5:40

5. Autonomous systems and human intervention

Analogies with self-driving cars, highlighting the need for human oversight in AI-driven systems. 8:06

6. Agentic AI: definition and enterprise adoption

Explanation of agentic AI, its evolution, and how enterprises are moving towards private, governed AI solutions. 11:29

7. Convergence of application and network monitoring

Discussion on combining application and network data for better user experience and proactive support. 12:55

8. Future vision: AI Ops and industry trends

Predictions for consolidation, standardization, and governance in AI Ops over the next five years. 14:48

9. Final thoughts and MSP strategy

Advice for choosing MSPs with a positive AI strategy and a summary of business benefits. 15:49

-----