Does AI watch your network? Read-only of course!
In this segment from IT Visionaries, Chris Brandt and John Capobianco discuss where AI agents can create real value for network teams before they ever touch production infrastructure. Instead of jumping straight to full automation, John makes the case for read-only AI: agents that document the network, compare changes over time, run tests, support compliance, enrich tickets, and help engineers understand what changed when something breaks.
They also explore why networking may be uniquely suited for AI-assisted operations. Networks are deterministic, but the problems can be difficult to spot - especially when outdated documentation, configuration drift, and human error pile up over time.
Before AI changes the network, maybe it should learn to watch it.
Full episode: <a href="https://www.youtube.com/watch?v=M6zZmgPOW7I" rel="noopener noreferrer">https://www.youtube.com/watch?v=M6zZmgPOW7I</a>
Chapters
 0:00 - Why AI Should Watch the Network
 1:03 - Finding What Changed
 3:51 - Beyond Config Management
 7:15 - From Detection to Safe Remediation
--&nbsp;This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to <a href="meter.com/itv">meter.com/itv</a> to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at <a href="https://mission.org/">mission.org.</a> Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.

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